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Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 8 (from laksa064)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa008.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.w3cschool.cn/tensorflow_python/tensorflow_python-caw628sg.html\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.w3cschool.cn/tensorflow_python/tensorflow_python-caw628sg.html\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-caw628sg.html","crawl_time":1775663289,"first_indexed_time":1512084920,"http_code":200,"src_unparsed":"cn,w3cschool!www,\/tensorflow_python\/tensorflow_python-caw628sg.html s443","src_root_hash":"17163751617681654208","history_drop_reason":null,"meta_title":"TensorFlow 入门基础_w3cschool","meta_descriptions":["TensorFlow入门基础,TensorFlow中文文档,TensorFlow入门教程_来自TensorFlow官方文档，w3cschool编程狮。"],"attrs_boilerpipe_text":"TensorFlow官方文档\n赞\n收藏\n更多文章\n目录\n搜索\n书签\nTensorFlow 入门基础\nTensorFlow 介绍\nTensorFlow 下载与安装\nTensorFlow 基本使用\nTensorFlow 使用指南\nassert和布尔值检查函数\n贝叶斯熵（contrib）\n贝叶斯蒙特卡罗（contrib）\n贝叶斯随机图（contrib）\n贝叶斯随机张量（contrib）\n贝叶斯变分推断（contrib）\n构建图\n生成常量，序列和随机值\n控制流程\n复制图形元素（contrib）\nCRF（contrib）\n数据IO（Python函数）\n使用FFmpeg（contrib）\n框架（contrib）\n图形编辑器（contrib）\n高阶函数\n直方图\n图像操作\n输入和读取器\n集成（contrib）\n层（contrib）\n高级API\n线性代数库（contrib）\n损失（contrib）\n数学函数\n指标（contrib）\n神经网络\n优化（contrib）\n随机变量变换（contrib）\nRNN和单元（contrib）\n运行图\nSeq2seq库（contrib）\n稀疏张量\n光谱函数\n统计分布（contrib）\n字符串操作\n摘要操作\n张量处理操作\n张量变换\n调试器\n测试\nTraining函数（contrib）\nTraining函数\n实用程序（contrib）\n变量\n包装python函数\n将数据导入TensorFlow\nTensorFlow 函数介绍\nTensorFlow 函数模块：tf\nTensorFlow app模块\nTensorFlow bitwise模块\nTensorFlow 元素按位与运算\nTensorFlow bitwise_or运算\nTensorFlow 元素按位异或\nTensorFlow 翻转所有位元素\nTensorFlow按位左移函数：tf.bitwise.left_shift\nTensorFlow按位右移函数：tf.bitwise.right_shift\nTensorFlow compat模块\nTensorFlow 字节和Unicode转换\nTensorFlow str的转换\nTensorFlow 返回给定参数\nTensorFlow函数：tf.compat.path_to_str\nTensorFlow contrib模块\nTensorFlow 估计ELBO和KL散度中出现的比值\nTensorFlow 计算Monte Carlo或Shannon熵的确定性\nTensorFlow Renyi方法的使用\nTensorFlow 计算Renyi分歧\nTensorFlow Monte Carlo期望值计算\nTensorFlow Monte Carlo重要性抽样估计\nTensorFlow 对数空间的重要性抽样估计\nTensorFlow 随机图的代理损失\nTensorFlow 发出随机值的张量\nTensorFlow 获取随机张量值类型\nTensorFlow 随机张量值类型的MeanValue类\nTensorFlow 具有观察值的 StochasticTensor\nTensorFlow绘制样本\nTensorFlow StochasticTensor详细介绍\nTensorFlow创建值类型上下文\nTensorFlow 变分推理操作\n在TensorFlow中创建一个BigQueryReader\nTensorFlow中copy的使用方法\nTensorFlow中与CRF有关的操作\nTensorFlow使用Cudnn实现模型\nTensorFlow处理RNN参数变量\nTensorFlow的数据集\nTensorFlow创建固定长度记录的Dataset\nTensorFlow 使用Iterator类\nTensorFlow读取批处理\nTensorFlow对数据集重新取样\nTensorFlow文本文件行的数据集\n包含TFRecord文件记录的数据集\nTensorFlow的errors模块\nTensorFlow的errors模块总览\nTensorFlow操作被中止\nTensorFlow处理已存在的error\nTensorFlow取消操作或步骤时引发的error\nDataLossError类的使用\n处理DeadlineExceededError\n处理FailedPreconditionError\nInternalError的处理\nTensorFlow的InvalidArgumentError类\nNotFoundError如何引发\nTensorFlow操作迭代超过有效的输入范围\nTensorFlow调用方没有运行操作权限怎么办\nTensorFlow资源用尽引发的异常\nTensorFlow无效身份验证引发的异常\n当前不可用的runtime异常\nTensorFlow 操作未实现引发的异常\nUnknownError异常\nestimator模块\nTensorFlow如何生成解析规范\nTensorFlow如何使用DNN模型分类器\nTensorFlow DNNLinear组合分类器的使用\nTensorFlow DNN回归模型\nTensorFlow DNN模型的回归器\nTensorFlow的estimator类函数：tf.estimator.Estimator\nTensorFlow函数：tf.estimator.EstimatorSpec\nTensorFlow函数：tf.estimator.EvalSpec\nTensorFlow函数：tf.estimator.Exporter\nTensorFlow函数：tf.estimator.FinalExporter\nTensorFlow函数：tf.estimator.LatestExporter\nTensorFlow函数：tf.estimator.ModeKeys\nTensorFlow函数：tf.estimator.regressor_parse_example_spec\nTensorFlow函数：tf.estimator.RunConfig\nTensorFlow函数：tf.estimator.TrainSpec\nTensorFlow函数：tf.estimator.VocabInfo\nTensorFlow函数：tf.estimator.WarmStartSettings\nTensorFlow怎么使用gfile模块\n将TensorFlow文件数据复制到新路径\n文件I\/O包装器\nTensorFlow如何使用GFile类\nTensorFlow返回模式匹配文件列表\nTensorFlow函数：tf.gfile.IsDirectory\nTensorFlow函数：tf.gfile.ListDirectory\nTensorFlow函数：tf.gfile.MakeDirs\nTensorFlow函数：tf.gfile.MkDir\nTensorFlow函数：tf.gfile.Remove\nTensorFlow函数：tf.gfile.Rename\nTensorFlow函数：tf.gfile.Stat\nTensorFlow函数：tf.gfile.Walk\nTensorFlow的graph_util模块\nTensorFlow如何用常量替换变量\n如何操作TensorFlow张量图的节点\nTensorFlow函数：tf.graph_util.must_run_on_cpu\nTensorFlow函数：tf.graph_util.remove_training_nodes\nTensorFlow函数：tf.graph_util.tensor_shape_from_node_def_name\nTensorFlow的image模块\nTensorFlow模块：tf.image\nTensorFlow函数：tf.image.adjust_brightness\nTensorFlow函数：tf.image.adjust_contrast\nTensorFlow函数：tf.image.adjust_gamma\nTensorFlow函数：tf.image.adjust_hue\nTensorFlow函数：tf.image.adjust_saturation\nTensorFlow函数：tf.image.central_crop\nTensorFlow函数：tf.image.convert_image_dtype\nTensorFlow函数：tf.image.crop_and_resize\nTensorFlow函数：tf.image.crop_to_bounding_box\nTensorFlow函数：tf.image.decode_and_crop_jpeg\nTensorFlow函数：tf.image.decode_bmp\nTensorFlow函数：tf.image.decode_gif\nTensorFlow函数：tf.image.decode_image\nTensorFlow函数：tf.image.decode_jpeg\nTensorFlow函数：tf.image.decode_png\nTensorFlow函数：tf.image.draw_bounding_boxes\nTensorFlow函数：tf.image.encode_jpeg\nTensorFlow函数：tf.image.encode_png\nTensorFlow函数：tf.image.extract_glimpse\nTensorFlow函数：tf.image.extract_jpeg_shape\nTensorFlow函数：tf.image.flip_left_right\nTensorFlow函数：tf.image.flip_up_down\nTensorFlow函数：tf.image.grayscale_to_rgb\nTensorFlow函数：tf.image.hsv_to_rgb\nTensorFlow函数：tf.image.image_gradients\nTensorFlow函数：tf.image.is_jpeg\nTensorFlow函数：tf.image.non_max_suppression\nTensorFlow函数：tf.image.pad_to_bounding_box\nTensorFlow函数：tf.image.per_image_standardization\nTensorFlow函数：tf.image.psnr\nTensorFlow函数：tf.image.random_brightness\nTensorFlow函数：tf.image.random_contrast\nTensorFlow函数：tf.image.random_flip_left_right\nTensorFlow函数：tf.image.random_flip_up_down\nTensorFlow函数：tf.image.random_hue\nTensorFlow函数：tf.image.random_saturation\nTensorFlow函数：tf.image.ResizeMethod\nTensorFlow函数：tf.image.resize_area\nTensorFlow函数：tf.image.resize_bicubic\nTensorFlow函数：tf.image.resize_bilinear\nTensorFlow函数：tf.image.resize_images\nTensorFlow函数：tf.image.resize_image_with_crop_or_pad\nTensorFlow函数：tf.image.resize_nearest_neighbor\nTensorFlow函数：tf.image.rgb_to_grayscale\nTensorFlow函数：tf.image.rgb_to_hsv\nTensorFlow函数：tf.image.rgb_to_yiq\nTensorFlow函数：tf.image.rgb_to_yuv\nTensorFlow函数：tf.image.rot90\nTensorFlow函数：tf.image.sample_distorted_bounding_box\nTensorFlow函数：tf.image.sobel_edges\nTensorFlow函数：tf.image.ssim\nTensorFlow函数：tf.image.ssim_multiscale\nTensorFlow函数：tf.image.total_variation\nTensorFlow函数：tf.image.transpose_image\nTensorFlow函数：tf.image.yiq_to_rgb\nTensorFlow函数：tf.image.yuv_to_rgb\nTensorFlow使用之tf.initializers\nTensorFlow模块：tf.initializers\nTensorFlow函数：tf.initializers.identity\nTensorFlow使用之tf.io\ntf.io概览\ndecode_and_crop_jpeg\ndecode_base64\ndecode_bmp\ndecode_compressed\ndecode_csv\ndecode_gif\ndecode_image\ndecode_jpeg\ndecode_json_example\ndecode_png\ndecode_raw\ndeserialize_many_sparse\nencode_base64\nencode_jpeg\nextract_jpeg_shape\nFixedLenFeature\nFixedLenSequenceFeature\nis_jpeg\nmatching_files\nmatch_filenames_once\nPaddingFIFOQueue\nparse_example\nparse_sequence_example\nparse_single_example\nparse_single_sequence_example\nparse_tensor\nread_file\nserialize_many_sparse\nserialize_sparse\nserialize_tensor\nSparseFeature\nTFRecordCompressionType\nTFRecordOptions\nTFRecordWriter\ntf_record_iterator\nVarLenFeature\nwrite_file\nwrite_graph\ngfile\ncopy\nexists\nGFile\nglob\nisdir\nlistdir\nmakedirs\nmkdir\nremove\nrename\nrmtree\nstat\nwalk\nTensorFlow使用之tf.keras\nTensorFlow模块：tf.keras\nInput\nactivations\ndeserialize\nelu\nexponential\nget\nhard_sigmoid\nlinear\nrelu\nselu\nserialize\nsigmoid\nsoftmax\nsoftplus\nsoftsign\ntanh\napplications\nbackend\nabs\nall\nany\narange\nargmax\nargmin\nbackend\nbatch_dot\nbatch_flatten\nbatch_get_value\nbatch_normalization\nbatch_set_value\nbias_add\nbinary_crossentropy\ncast\ncast_to_floatx\ncategorical_crossentropy\nclear_session\nclip\nconcatenate\nconstant\nconv1d\nconv2d\nconv2d_transpose\nconv3d\ncos\ncount_params\nctc_batch_cost\nctc_decode\nctc_label_dense_to_sparse\ndot\ndropout\ndtype\nelu\nepsilon\nequal\neval\nexp\nexpand_dims\neye\nflatten\nfloatx\nfoldl\nfoldr\nfunction\ngather\nget_session\nget_uid\nget_value\ngradients\ngreater\ngreater_equal\nhard_sigmoid\nimage_data_format\nint_shape\nin_test_phase\nin_top_k\nin_train_phase\nis_sparse\nl2_normalize\nlearning_phase\nless\nless_equal\nlog\nmanual_variable_initialization\nmap_fn\nmax\nmaximum\nmean\nmin\nminimum\nmoving_average_update\nndim\nnormalize_batch_in_training\nnot_equal\nones\nones_like\none_hot\npermute_dimensions\nplaceholder\npool2d\npool3d\npow\nprint_tensor\nprod\nrandom_binomial\nrandom_normal\nrandom_normal_variable\nrandom_uniform\nrandom_uniform_variable\nrelu\nrepeat\nrepeat_elements\nreset_uids\nreshape\nresize_images\nresize_volumes\nreverse\nrnn\nround\nseparable_conv2d\nset_epsilon\nset_floatx\nset_image_data_format\nset_learning_phase\nset_session\nset_value\nshape\nsigmoid\nsign\nsin\nsoftmax\nsoftplus\nsoftsign\nsparse_categorical_crossentropy\nspatial_2d_padding\nspatial_3d_padding\nsqrt\nsquare\nsqueeze\nstack\nstd\nstop_gradient\ncallbacks\nBaseLogger\nCallback\nCSVLogger\nEarlyStopping\nHistory\nLambdaCallback\nLearningRateScheduler\nModelCheckpoint\nProgbarLogger\nReduceLROnPlateau\nRemoteMonitor\nTensorBoard\nTerminateOnNaN\nTensorFlow使用之tf.layers\nTensorFlow模块：tf.layers\nTensorFlow函数：tf.layers.AveragePooling1D\nTensorFlow函数：tf.layers.AveragePooling2D\nTensorFlow函数：tf.layers.AveragePooling3D\nTensorFlow函数：tf.layers.average_pooling1d\nTensorFlow函数：tf.layers.average_pooling2d\nTensorFlow函数：tf.layers.average_pooling3d\nTensorFlow函数：tf.layers.batch_normalization\nTensorFlow函数：tf.layers.Conv1D\nTensorFlow函数：tf.layers.Conv2D\nTensorFlow函数：tf.layers.Conv2DTranspose\nTensorFlow函数：tf.layers.conv2d_transpose\nTensorFlow函数：tf.layers.Conv3D\nTensorFlow函数：tf.layers.conv3d_transpose\nTensorFlow函数：tf.layers.InputSpec\nTensorFlow函数：tf.layers.Conv3DTranspose\nTensorFlow函数：tf.layers.Dense\nTensorFlow函数：tf.layers.Dropout\nTensorFlow函数：tf.layers.Flatten\nTensorFlow函数：tf.layers.Layer\nTensorFlow函数：tf.layers.MaxPooling1D\nTensorFlow函数：tf.layers.MaxPooling2D\nTensorFlow函数：tf.layers.MaxPooling3D\nTensorFlow函数：tf.layers.max_pooling1d\nTensorFlow函数：tf.layers.max_pooling2d\nTensorFlow函数：tf.layers.max_pooling3d\nTensorFlow函数：tf.layers.SeparableConv1D\nTensorFlow函数：tf.layers.SeparableConv2D\nTensorFlow函数：tf.layers.separable_conv1d\nTensorFlow函数：tf.layers.separable_conv2d\nTensorFlow函数：tf.layers.BatchNormalization\nTensorFlow使用之Python\/tf.linalg\nTensorFlow模块：tf.linalg\nTensorFlow函数：tf.linalg.adjoint\nTensorFlow函数：tf.linalg.expm\nTensorFlow函数：tf.linalg.logdet\nTensorFlow函数：tf.linalg.logm\nTensorFlow函数：tf.linalg.slogdet\nTensorFlow函数：tf.linalg.LinearOperator\nTensorFlow使用之tf.logging\nTensorFlow模块：tf.logging\nTensorFlow函数：tf.logging.debug\nTensorFlow函数：tf.logging.error\nTensorFlow函数：tf.logging.fatal\nTensorFlow函数：tf.logging.flush\nTensorFlow函数：tf.logging.get_verbosity\nTensorFlow函数：tf.logging.info\nTensorFlow函数：tf.logging.log\nTensorFlow函数：tf.logging.log_every_n\nTensorFlow函数：tf.logging.log_first_n\nTensorFlow函数：tf.logging.log_if\nTensorFlow函数：tf.logging.set_verbosity\nTensorFlow函数：tf.logging.TaskLevelStatusMessage\nTensorFlow函数：tf.logging.vlog\nTensorFlow函数：tf.logging.warn\nTensorFlow函数：tf.logging.warning\nTensorFlow使用之tf.losses\nTensorFlow模块：tf.losses\nTensorFlow函数：tf.losses.absolute_difference\nTensorFlow函数：tf.losses.add_loss\nTensorFlow函数：tf.losses.compute_weighted_loss\nTensorFlow函数：tf.losses.cosine_distance\nTensorFlow函数：tf.losses.get_losses\nTensorFlow函数：tf.losses.get_regularization_loss\nTensorFlow函数：tf.losses.get_regularization_losses\nTensorFlow函数：tf.losses.get_total_loss\nTensorFlow函数：tf.losses.hinge_loss\nTensorFlow函数：tf.losses.huber_loss\nTensorFlow函数：tf.losses.log_loss\nTensorFlow函数：tf.losses.mean_pairwise_squared_error\nTensorFlow函数：tf.losses.mean_squared_error\nTensorFlow函数：tf.losses.Reduction\nTensorFlow函数：tf.losses.sigmoid_cross_entropy\nTensorFlow函数：tf.losses.softmax_cross_entropy\nTensorFlow函数：tf.losses.sparse_softmax_cross_entropy\nTensorFlow使用之tf.math\nTensorFlow模块：tf.math\nTensorFlow函数：tf.math.polyval\nTensorFlow使用之tf.metrics\nTensorFlow模块：tf.metrics\nTensorFlow函数：tf.metrics.accuracy\nTensorFlow函数：tf.metrics.auc\nTensorFlow函数：tf.metrics.average_precision_at_k\nTensorFlow函数：tf.metrics.false_negatives\nTensorFlow函数：tf.metrics.false_negatives_at_thresholds\nTensorFlow函数：tf.metrics.false_positives\nTensorFlow函数：tf.metrics.false_positives_at_thresholds\nTensorFlow函数：tf.metrics.mean\nTensorFlow函数：tf.metrics.mean_absolute_error\nTensorFlow函数：tf.metrics.mean_cosine_distance\nTensorFlow函数：tf.metrics.mean_iou\nTensorFlow函数：tf.metrics.mean_per_class_accuracy\nTensorFlow函数：tf.metrics.mean_relative_error\nTensorFlow函数：tf.metrics.mean_squared_error\nTensorFlow函数：tf.metrics.mean_tensor\nTensorFlow函数：tf.metrics.percentage_below\nTensorFlow函数：tf.metrics.precision\nTensorFlow函数：tf.metrics.precision_at_k\nTensorFlow函数：tf.metrics.precision_at_thresholds\nTensorFlow函数：tf.metrics.precision_at_top_k\nTensorFlow函数：tf.metrics.recall\nTensorFlow函数：tf.metrics.recall_at_k\nTensorFlow函数：tf.metrics.recall_at_thresholds\nTensorFlow函数：tf.metrics.recall_at_top_k\nTensorFlow函数：tf.metrics.root_mean_squared_error\nTensorFlow函数：tf.metrics.sensitivity_at_specificity\nTensorFlow函数：tf.metrics.sparse_average_precision_at_k\nTensorFlow函数：tf.metrics.sparse_precision_at_k\nTensorFlow函数：tf.metrics.specificity_at_sensitivity\nTensorFlow函数：tf.metrics.true_negatives\nTensorFlow函数：tf.metrics.true_negatives_at_thresholds\nTensorFlow函数：tf.metrics.true_positives\nTensorFlow函数：tf.metrics.true_positives_at_thresholds\nTensorFlow使用之tf.manip\nTensorFlow模块：tf.manip\nTensorFlow函数：tf.manip.roll\nTensorFlow使用之tf.nn\ntf.nn概览\nall_candidate_sampler\natrous_conv2d\natrous_conv2d_transpose\navg_pool\navg_pool3d\nbatch_normalization\nbatch_norm_with_global_normalization\nbias_add\nbidirectional_dynamic_rnn\ncompute_accidental_hits\nconv1d\nconv2d\nconv2d_backprop_filter\nconv2d_backprop_input\nconv2d_transpose\nconv3d\nconv3d_backprop_filter_v2\nconv3d_transpose\nconvolution\ncrelu\nctc_beam_search_decoder\nctc_greedy_decoder\nctc_loss\ndepthwise_conv2d\ndepthwise_conv2d_native\ndepthwise_conv2d_native_backprop_filter\ndepthwise_conv2d_native_backprop_input\ndilation2d\ndropout\ndynamic_rnn\nelu\nembedding_lookup\nembedding_lookup_sparse\nerosion2d\nfixed_unigram_candidate_sampler\nfractional_avg_pool\nfractional_max_pool\nfused_batch_norm\nin_top_k\nl2_loss\nl2_normalize\nleaky_relu\nlearned_unigram_candidate_sampler\nlocal_response_normalization\nlog_poisson_loss\nlog_softmax\nlog_uniform_candidate_sampler\nmax_pool\nmax_pool3d\nmax_pool_with_argmax\nmoments\nnce_loss\nnormalize_moments\npool\nquantized_avg_pool\nquantized_conv2d\nquantized_max_pool\nquantized_relu_x\nrelu\nrelu6\nrelu_layer\nselu\nseparable_conv2d\nsigmoid_cross_entropy_with_logits\nsoftmax\nsoftmax_cross_entropy_with_logits\nsoftmax_cross_entropy_with_logits_v2\nsoftsign\nspace_to_batch\nspace_to_depth\nsparse_softmax_cross_entropy_with_logits\nstatic_bidirectional_rnn\nstatic_rnn\nstatic_state_saving_rnn\nsufficient_statistics\nweighted_cross_entropy_with_logits\nweighted_moments\nwith_space_to_batch\nxw_plus_b\nTensorFlow使用之tf.profiler\ntf.profiler概览\nAdviceProto\nAdviceProto.Checker\nAdviceProto.CheckersEntry\nadvise\nGraphNodeProto\nGraphNodeProto.InputShapesEntry\nMultiGraphNodeProto\nOpLogProto\nOpLogProto.IdToStringEntry\nprofile\nProfileOptionBuilder\nProfiler\nwrite_op_log\nTensorFlow使用之tf.python_io\ntf.python_io概览\nTensorFlow使用之tf.queue\nPriorityQueue\nQueueBase\n如何导出estimator\nTensorFlow解析Example\nTensorFlow分类头的输出设置\nTensorFlow使用之tf.lite\ntf.lite概览\nInterpreter\nOpHint\nOpHintArgumentTracker\nOpsSet\nTFLiteConverter\nTocoConverter\ntoco_convert\nTensorFlow 功能函数\nTensorFlow 计算张量的绝对值\nTensorFlow 返回张量列表的元素和\nTensorFlow 计算张量元素的 acos\nTensorFlow 计算张量的和\nTensorFlow  check_numerics操作\nTensorFlow 添加张量元素\nTensorFlow 包装Graph.add_to\nTensorFlow 梯度组合\nTensorFlow 返回张量的最大值索引\nTensorFlow 返回张量的最小值索引\nTensorFlow 返回张量维度上最大值的索引\nTensorFlow 返回张量维度上最小值的索引\nTensorFlow 计算asin中的元素\nTensorFlow中Assert相关函数说明\nTensorFlow中assign函数说明\nTensorFlow 将给定的 type_value 转换为 DType\nTensorFlow 将给定张量的条目转换为字符串\nTensorFlow 计算元素的反正切\nTensorFlow AttrValue类\nTensorFlow BatchToSpace的使用\nTensorFlow 计算正则化的不完全beta积分\nTensorFlow 计算整数数组值出现的次数\nTensorFlow 张量类型转换\nTensorFlow 在张量上应用布尔掩码\nTensorFlow 返回广播形状\nTensorFlow 创建case\nTensorFlow 张量投射\nTensorFlow 使用ceil返回不下于x的最小整数\nTensorFlow 检查NaN和Inf值的张量\nTensorFlow计算方阵的Cholesky分解\n将TensorFlow张量值剪辑到最大平均L2-norm\nTensorFlow通过规范总和的比例剪切张量的值\nTensorFlow 将张量值剪辑到最大 L2-norm\nTensorFlow 将张量剪辑为指定的最大值和最小值\nTensorFlow 将实数转换为复数\nTensorFlow 将张量沿一个维度串联\nTensorFlow tf.cond函数的使用\nTensorFlow聚合梯度的条件累加器\n如何使用ConditionalAccumulatorBase\nTensorFlow如何计算混淆矩阵\n如何使用conj\n在TensorFlow中使用constant函数\nTensorFlow使用初始化器生成具有常量值的张量\ncontainer的使用\ncontrol_dependencies的使用\nTensorFlow将给定值转换为张量\nTensorFlow将给定的对象转换为张量或IndexedSlices\nTensorFlow将值转换为SparseTensor或张量\n计算TensorFlow元素的cos值\nTensorFlow元素的双曲余弦\n计算TensorFlow中非零元素的个数\nTensorFlow对ref进行递增\nTensorFlow怎么创建分区变量列表\n计算张量沿轴的累积积\nTensorFlow张量的累积和\nTensorFlow字符串解码\nTensorFlow CSV转换\nJSON编码的示例记录转换\nTensorFlow将raw格式转换为张量\nTensorFlow数据从深度排列为空间数据块\n反量化TensorFlow张量\nTensorFlow设备规范\n使用diag返回对角张量\nTensorFlow如何返回对角线\nTensorFlow除法运算\n使用Dimension类\nTensorFlow张量的元素类型\nTensorFlow分区索引的使用\n如何插入TensorFlow数据张量的值\n计算TensorFlow序列之间的编辑距离\nTensorFlow如何实现张量收缩\nTensorFlow实现字符串编码\nTensorFlow怎么使用equal函数\nTensorFlow误差函数计算\n计算TensorFlow元素的指数\n如何在TensorFlow张量形状中插入维度\n构造TensorFlow的单位矩阵\n怎么对TensorFlow进行假量化\nTensorFlow快速傅里叶变换\n利用标量值填充TensorFlow张量\nTensorFlow怎么解析固定长度输入功能\nTensorFlow从文件中输出记录的读取器\n如何将TensorFlow输入特征解析为张量\n如何使用TensorFlow的floor函数\nTensorFlow函数：tf.floormod\nTensorFlow高阶函数：tf.foldl\nTensorFlow张量变换函数：tf.gather\nTensorFlow函数：tf.gather_nd\nTensorFlow函数：get_collection\ndefault函数\nTensorFlow函数：get_session_handle\nTensorFlow变量函数：tf.get_local_variable\ntf.get_variable函数\nTensorFlow全局函数：tf.global_norm\n使用global_variables获取全局变量\nTensorFlow初始化器\nTensorFlow梯度计算：tf.gradients\ntf.GraphKeys函数\nTensorFlow比较函数：tf.greater\nTensorFlow流程控制函数：tf.group\nHessian函数\nTensorFlow逆向快速傅里叶变换函数\nGamma函数\nTensorFlow复数函数：tf.imag\nTensorFlow图形处理函数：tf.import_graph_def\nTensorFlow函数：IndexedSlices\ntf.invert_permutation：张量的逆置换\nTensorFlow使用isnan函数\nTensorFlow数学函数：tf.lbeta\nTensorFlow函数：tf.less\nTensorFlow函数：tf.lin_space\nLMDB文件读取器\n加载TensorFlow插件的函数\nTensorFlow局部变量：tf.local_variables\ntf.log：计算TensorFlow的自然对数\nTensorFlow函数：logical\nTensorFlow变量函数：tf.make_template\n创建TensorProto\nTensorFlow：tf.map_fn函数\nTensorFlow：tf.matching_files函数\nTensorFlow：tf.matmul函数\nTensorFlow矩阵数学函数：tf.matrix_band_part\nTensorFlow计算方阵行列式的函数\nTensorFlow：tf.matrix_diag函数\nTensorFlow：tf.matrix_inverse函数\nTensorFlow函数：tf.matrix_set_diag\nTensorFlow函数：tf.matrix_solve\nTensorFlow函数：tf.matrix_solve_ls\nTensorFlow函数：tf.matrix_transpose\nTensorFlow函数：tf.matrix_triangular_solve\nTensorFlow数学函数：tf.maximum\nTensorFlow张量变换：tf.meshgrid\nTensorFlow数学函数：tf.minimum\nTensorFlow变量：tf.min_max_variable_partitioner\nmultinomial函数：从多项式分布中抽取样本\nTensorFlow构建图形：tf.name_scope函数\nTensorFlow函数：tf.negative\nTensorFlow范数：tf.norm函数\nTensorFlow比较运算符：tf.not_equal\nTensorFlow函数：tf.ones\nTensorFlow函数：tf.ones_initializer\nTensorFlow函数：tf.ones_like\ntf.one_hot函数：返回one-hot张量\nTensorFlow函数：tf.OpError\ntf.orthogonal_initializer函数：正交矩阵的初始化器\nTensorFlow填充张量函数：tf.pad\nTensorFlow函数：tf.parallel_stack\n解析Example原型：tf.parse_single_example\nTensorFlow占位符：tf.placeholder\nTensorFlow函数：tf.parse_example\nTensorFlow函数：解析SequenceExample原型\nTensorFlow占位符操作：tf.placeholder_with_default\nTensorFlow幂值计算函数：tf.pow\ntf.Print函数：打印张量列表\n包装用于TensorFlow操作的Python函数\ntf.qr函数：计算矩阵的QR分解\nTensorFlow函数：tf.quantized_concat\nTensorFlow张量变换函数：tf.quantize_v2\nTensorFlow函数：tf.random_crop\nTensorFlow队列函数：tf.QueueBase\nTensorFlow函数：tf.random_gamma\nTensorFlow随机值：tf.random_normal函数\ntf.random_normal_initializer：TensorFlow初始化器\nTensorFlow函数：tf.random_poisson\nTensorFlow函数：tf.random_shuffle\nTensorFlow随机值函数：tf.random_uniform\nTensorFlow函数：tf.random_uniform_initializer\ntf.range函数：创建数字序列\ntf.rank函数：返回TensorFlow张量的秩\nTensorFlow读取器基类：tf.ReaderBase\nTensorFlow函数：tf.real\ntf.realdiv函数：x\/y元素的实数类型\n用于计算倒数的tf.reciprocal函数\ntf.reduce_all函数：计算张量在维度上的逻辑和\nTensorFlow函数：tf.reduce_any\ntf.reduce_join函数：添加字符串张量\nTensorFlow函数：tf.reduce_logsumexp\nTensorFlow函数：tf.reduce_max\nTensorFlow函数：tf.reduce_mean\nTensorFlow函数：tf.reduce_min\nTensorFlow函数：tf.reduce_prod\nTensorFlow函数：tf.reduce_sum\nTensorFlow函数：tf.RegisterGradient\nTensorFlow函数：将base_type的对象转换为Tensor\nTensorFlow：tf.report_uninitialized_variables函数\nTensorFlow函数：如何计算填充\nTensorFlow：tf.reset_default_graph函数\nTensorFlow：使用tf.reshape函数重塑张量\nTensorFlow：tf.reverse函数\nTensorFlow函数：tf.reverse_sequence\ntf.reverse_v2函数：反转张量的特定维度\nTensorFlow：tf.rint函数\nTensorFlow四舍五入：tf.round函数\ntf.rsqrt函数：TensorFlow平方根倒数计算\nTensorFlow函数：tf.RunOptions\nTensorFlow函数：tf.saturate_cast\nTensorFlow数学函数：tf.scalar_mul\nTensorFlow函数：tf.scatter_nd\nTensorFlow变量函数：tf.scatter_nd_add\nTensorFlow：tf.scatter_nd_sub函数\nTensorFlow函数：tf.scatter_nd_update\nTensorFlow函数：tf.scatter_sub\ntf.scatter_update函数：将稀疏更新应用于变量引用\ntf.segment_max函数：计算一个张量的最大沿段\nTensorFlow：tf.segment_mean函数\nTensorFlow：tf.segment_min函数\nTensorFlow：tf.segment_prod函数\nTensorFlow数学函数：tf.segment_sum函数\nTensorFlow数学函数：tf.self_adjoint_eig\nTensorFlow数学函数：tf.self_adjoint_eigvals\nTensorFlow张量变换函数：tf.sequence_mask\nTensorFlow：tf.serialize_many_sparse 函数\nTensorFlow：tf.serialize_sparse函数\nTensorFlow：tf.serialize_tensor函数\nTensorFlow数学函数：tf.setdiff1d\nTensorFlow随机张量：tf.set_random_seed函数\nTensorFlow：tf.Session函数\nTensorFlow张量变换函数：tf.shape\nTensorFlow：tf.shape_n函数\nTensorFlow神经网络：tf.sigmoid函数\nTensorFlow数学函数：tf.sign\nTensorFlow数学函数：tf.sin函数\nTensorFlow数学函数：tf.sinh函数\nTensorFlow张量变换：tf.size\nTensorFlow分割：tf.slice函数\nTensorFlow：tf.space_to_batch函数\nTensorFlow张量变换：tf.space_to_batch_nd函数\nTensorFlow：tf.space_to_depth函数\nTensorFlow：tf.SparseConditionalAccumulator函数\nTensorFlow函数：tf.SparseFeature\nTensorFlow稀疏张量函数：tf.SparseTensor\nTensorFlow函数：tf.SparseTensorValue\nTensorFlow函数：tf.sparse_add\nTensorFlow函数：tf.sparse_concat\nTensorFlow函数：tf.sparse_fill_empty_rows\nTensorFlow函数：tf.sparse_mask\nTensorFlow函数：tf.sparse_matmul\nTensorFlow稀疏张量：tf.sparse_maximum函数\nTensorFlow稀疏张量：tf.sparse_merge函数\nTensorFlow函数：tf.sparse_minimum\nTensorFlow函数：tf.sparse_placeholder\nTensorFlow函数：tf.sparse_reduce_max\nTensorFlow函数：tf.sparse_reduce_max_sparse\nTensorFlow函数：tf.sparse_reduce_sum\nTensorFlow函数：tf.sparse_reduce_sum_sparse\nTensorFlow函数：tf.sparse_reorder\nTensorFlow函数：tf.sparse_reset_shape\nTensorFlow函数：tf.sparse_reshape\nTensorFlow函数：tf.sparse_retain\nTensorFlow函数：tf.sparse_segment_mean\nTensorFlow函数：tf.sparse_segment_sqrt_n\nTensorFlow数学函数：tf.sparse_segment_sum\nTensorFlow函数：tf.sparse_slice\nTensorFlow函数：tf.sparse_softmax\nTensorFlow函数：tf.sparse_split\nTensorFlow函数：tf.sparse_tensor_dense_matmul\nTensorFlow函数：tf.sparse_tensor_to_dense\nTensorFlow函数：tf.sparse_to_dense\nTensorFlow函数：tf.sparse_to_indicator\nTensorFlow函数：tf.sparse_transpose\nTensorFlow函数：tf.split\nTensorFlow函数：tf.sqrt\nTensorFlow函数：tf.square\nTensorFlow函数：tf.squared_difference\nTensorFlow函数：tf.squeeze\nTensorFlow函数：tf.stack\nTensorFlow函数：tf.stop_gradient\nTensorFlow函数：tf.strided_slice\nTensorFlow函数：tf.string_join\nTensorFlow函数：tf.string_split\nTensorFlow函数：tf.string_to_hash_bucket\nTensorFlow函数：tf.string_to_hash_bucket_fast\nTensorFlow函数：tf.string_to_hash_bucket_strong\nTensorFlow函数：tf.string_to_number\nTensorFlow函数：tf.substr\nTensorFlow函数：tf.subtract\nTensorFlow：Summary类\nTensorFlow函数：tf.svd\nTensorFlow函数：tf.tables_initializer\nTensorFlow函数：tf.tan\nTensorFlow函数：tf.tanh\nTensorFlow函数：tf.tensordot\nTensorFlow函数：tf.TextLineReader\nTensorFlow函数：tf.tile\nTensorFlow函数：tf.to_bfloat16\nTensorFlow函数：tf.to_double\nTensorFlow函数：tf.to_float\nTensorFlow函数：tf.to_int32\nTensorFlow函数：tf.to_int64\nTensorFlow函数：tf.trace\nTensorFlow函数：tf.trainable_variables\nTensorFlow函数：tf.transpose\nTensorFlow函数：tf.truediv\nTensorFlow函数：tf.truncatediv\nTensorFlow函数：tf.truncated_normal\nTensorFlow函数：tf.truncated_normal_initializer\nTensorFlow函数：tf.truncatemod\nTensorFlow函数：tf.tuple\nTensorFlow函数：tf.uniform_unit_scaling_initializer\nTensorFlow函数：tf.unique\nTensorFlow函数：tf.unique_with_counts\nTensorFlow函数：tf.unravel_index\nTensorFlow函数：tf.unsorted_segment_max\nTensorFlow函数：tf.unsorted_segment_sum\nTensorFlow函数：tf.unstack\nTensorFlow函数：tf.variables_initializer\nTensorFlow函数：tf.variable_axis_size_partitioner\nTensorFlow函数：tf.variable_op_scope\nTensorFlow函数：tf.variable_scope\nTensorFlow函数：tf.variance_scaling_initializer\nTensorFlow函数：tf.VarLenFeature\nTensorFlow函数：tf.verify_tensor_all_finite\nTensorFlow函数：tf.where\nTensorFlow函数：tf.while_loop\nTensorFlow函数：tf.WholeFileReader\nTensorFlow函数：tf.write_file\nTensorFlow函数：tf.zeros\nTensorFlow函数：tf.zeros_initializer\nTensorFlow函数：tf.zeros_like\nTensorFlow函数：tf.zeta\nTensorFlow 手写数字分类问题\nTensorFlow的MNIST手写数字分类问题  基础篇\nTensorFlow的MNIST手写数字分类问题  进阶篇\n阅读(11.6k)\n书签\n赞\n(\n3\n)\n我要纠错\n2018-08-21 10:52 更新\n您使用了广告拦截器。请将 www.w3cschool.cn 加入白名单，解除广告屏蔽后，刷新页面。谢谢。\nTensorFlow 入门基础\nTensorFlow 介绍\nTensorFlow 下载与安装\nTensorFlow 基本使用\n以上内容是否对您有帮助：\n介绍TensorFlow\n→\n写笔记\n我要补充\n您使用了广告拦截器。请将 www.w3cschool.cn 加入白名单，解除广告屏蔽后，刷新页面。谢谢。\n推荐文章\nW3Cschool 热门编程语言排行榜 2020年 10月 TOP10\n几种后端开发中常用的语言。\n2020年10月编程语言排行榜：Python 即将超越 Java\n怎么查看python版本？有几种方法？\npython怎么保留两位小数?几种方法总结！\n推荐教程\nPython3 教程\nPyTorch 中文教程\nDjango3 中文教程\npytest教程\n腾讯代码安全指南\n推荐课程\nPython 数据科学入门\nPython Flask 开发 Web 服务\nScrapy框架实战：制作图片爬虫\nPython 并发编程实战\nPython零基础15天入门到精通\nCopyright©2021 \nw3cschool\n编程狮\n|\n闽ICP备15016281号-3\n|\n闽公网安备35020302033924号\n违法和不良信息举报电话：173-0602-2364\n|\n举报邮箱：jubao@eeedong.com","attrs_markdown":"[![w3cschool](https:\/\/7nsts.w3cschool.cn\/images\/logonew2.png)](http:\/\/www.w3cschool.cn\/ \"w3cschool\")\n\n- [编程课程](http:\/\/www.w3cschool.cn\/courses \"编程课程\")\n- 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\"编程入门教程\")\n- [编程课程](https:\/\/www.w3cschool.cn\/learn \"编程课程\")\n- [VIP会员](https:\/\/www.w3cschool.cn\/vip?fcode=m_indexmenu \"VIP会员\")\n\n[![TensorFlow官方文档](https:\/\/atts.w3cschool.cn\/attachments\/cover\/cover_tensorflow_python.png?t=1666251388?imageView2\/1\/w\/48\/h\/48) TensorFlow官方文档](https:\/\/www.w3cschool.cn\/tensorflow_python \"TensorFlow官方文档\")\n\n- [赞]()\n- [收藏]()\n\n- [更多文章](https:\/\/www.w3cschool.cn\/tensorflow_python\/list\/ \"更多文章\")\n\n- [目录](\"目录\")\n- [搜索](\"搜索\")\n- [书签](\"书签\")\n\n1. [TensorFlow 入门基础](\"TensorFlow 入门基础\")\n   1. [TensorFlow 介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bm7y28si.html \"介绍TensorFlow\")\n   2. [TensorFlow 下载与安装](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9rbt28sr.html \"下载与安装TensorFlow\")\n   3. [TensorFlow 基本使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fibz28ss.html \"TensorFlow的基本使用\")\n2. [TensorFlow 使用指南](\"TensorFlow 指南\")\n   1. [assert和布尔值检查函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d64v28su.html \"TensorFlow assert和布尔值检查函数\")\n   2. [贝叶斯熵（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hs4q28sv.html \"TensorFlow贝叶斯熵（contrib）\")\n   3. [贝叶斯蒙特卡罗（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-32bu28sw.html \"TensorFlow 贝叶斯蒙特卡罗（contrib）\")\n   4. [贝叶斯随机图（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jne328sx.html \"TensorFlow 贝叶斯随机图（contrib）\")\n   5. [贝叶斯随机张量（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7khf28sy.html \"TensorFlow 贝叶斯随机张量（contrib）\")\n   6. [贝叶斯变分推断（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qyo528sz.html \"TensorFlow 贝叶斯变分推断（contrib）\")\n   7. [构建图](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-31iw28tv.html \"TensorFlow 构建图\")\n   8. [生成常量，序列和随机值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-efts28tw.html \"TensorFlow生成常量，序列和随机值\")\n   9. [控制流程](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9su628tx.html \"TensorFlow 控制流程\")\n   10. [复制图形元素（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9jqm28ty.html \"TensorFlow 复制图形元素（contrib）\")\n   11. [CRF（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7kxc28tz.html \"TensorFlow CRF（contrib）\")\n   12. [数据IO（Python函数）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rc6y28u0.html \"TensorFlow 数据IO（Python函数）\")\n   13. [使用FFmpeg（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vyw628u1.html \"TensorFlow使用FFmpeg（contrib）\")\n   14. [框架（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-719s28u7.html \"TensorFlow 框架（contrib）\")\n   15. [图形编辑器（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6jpe28u8.html \"TensorFlow图形编辑器（contrib）\")\n   16. [高阶函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-smr728ub.html \"TensorFlow 高阶函数\")\n   17. [直方图](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rujw28uc.html \"TensorFlow直方图\")\n   18. [图像操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-36ws28ue.html \"TensorFlow图像操作\")\n   19. [输入和读取器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s7pv28uf.html \"TensorFlow 输入和读取器\")\n   20. [集成（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-16zs28ug.html \"TensorFlow的集成（contrib）\")\n   21. [层（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ugo128uh.html \"TensorFlow层（contrib）\")\n   22. [高级API](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-v53828uj.html \"学习TensorFlow的高级API\")\n   23. [线性代数库（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-52z428uk.html \"TensorFlow 线性代数库（contrib）\")\n   24. [损失（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-volg28ul.html \"TensorFlow损失（contrib）\")\n   25. [数学函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u7wa28vm.html \"TensorFlow 数学函数\")\n   26. [指标（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c7p628vn.html \"TensorFlow 指标（contrib）\")\n   27. [神经网络](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kd5h28vo.html \"TensorFlow 神经网络\")\n   28. [优化（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2ohy28vp.html \"TensorFlow 优化（contrib）\")\n   29. [随机变量变换（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-onrv28vq.html \"TensorFlow 随机变量变换（contrib）\")\n   30. [RNN和单元（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l8ba28vr.html \"TensorFlow RNN和单元（contrib）\")\n   31. [运行图](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lfi528vs.html \"TensorFlow 运行图\")\n   32. [Seq2seq库（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i8jh28vt.html \"TensorFlow Seq2seq库（contrib）\")\n   33. [稀疏张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pflh28vu.html \"TensorFlow 稀疏张量\")\n   34. [光谱函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aij928yl.html \"TensorFlow 光谱函数\")\n   35. [统计分布（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hilj28ym.html \"TensorFlow 统计分布（contrib）\")\n   36. [字符串操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-duwl28yn.html \"TensorFlow 字符串操作\")\n   37. [摘要操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3jkf28yp.html \"TensorFlow 摘要操作\")\n   38. [张量处理操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gnwm2c68.html \"TensorFlow 张量处理操作\")\n   39. [张量变换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-85v22c69.html \"TensorFlow 张量变换\")\n   40. [调试器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-91qg2c6a.html \"TensorFlow调试器\")\n   41. [测试](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9nqv2c6b.html \"TensorFlow 测试\")\n   42. [Training函数（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-31ld2c6d.html \"TensorFlow Training函数（contrib）\")\n   43. [Training函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-y6p82c6e.html \"TensorFlow Training函数\")\n   44. [实用程序（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wguk2c6f.html \"TensorFlow 实用程序（contrib）\")\n   45. [变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rv8u2c6g.html \"TensorFlow 变量\")\n   46. [包装python函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2u1x2c6h.html \"TensorFlow 包装python函数\")\n   47. [将数据导入TensorFlow](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-urli2dhu.html \"将数据导入TensorFlow\")\n3. [TensorFlow 函数介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s17p28vv.html \"TensorFlow 函数介绍\")\n   1. [TensorFlow 函数模块：tf](\"TensorFlow 函数模块：tf\")\n      1. [TensorFlow app模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-58lx2coj.html \"TensorFlow app模块\")\n      2. [TensorFlow bitwise模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qiut2d8o.html \"bitwise模块\")\n         1. [TensorFlow 元素按位与运算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xpga2d8p.html \"TensorFlow元素按位与运算\")\n         2. [TensorFlow bitwise\\_or运算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6r8y2d8q.html \"bitwise_or运算\")\n         3. [TensorFlow 元素按位异或](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qle82d8u.html \"TensorFlow元素按位异或\")\n         4. [TensorFlow 翻转所有位元素](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cfxe2d8v.html \"翻转TensorFlow所有位元素\")\n         5. [TensorFlow按位左移函数：tf.bitwise.left\\_shift](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wefa2ov7.html \"TensorFlow按位左移函数：tf.bitwise.left_shift\")\n         6. [TensorFlow按位右移函数：tf.bitwise.right\\_shift](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zu172ova.html \"TensorFlow按位右移函数：tf.bitwise.right_shift\")\n      3. [TensorFlow compat模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-32xo2col.html \"TensorFlow compat模块\")\n         1. [TensorFlow 字节和Unicode转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-m8el2com.html \"TensorFlow 字节和Unicode转换\")\n         2. [TensorFlow str的转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fcbk2con.html \"TensorFlow str的转换\")\n         3. [TensorFlow 返回给定参数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-oaet2coo.html \"TensorFlow 返回给定参数\")\n         4. [TensorFlow函数：tf.compat.path\\_to\\_str](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ijhd2oya.html \"TensorFlow函数：tf.compat.path_to_str\")\n      4. [TensorFlow contrib模块](\"TensorFlow contrib模块\")\n         1. [TensorFlow 估计ELBO和KL散度中出现的比值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6t8228wb.html \"TensorFlow 估计ELBO和KL散度中出现的比值\")\n         2. [TensorFlow 计算Monte Carlo或Shannon熵的确定性](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c6ez28xm.html \"TensorFlow 计算Monte Carlo或Shannon熵的确定性\")\n         3. [TensorFlow Renyi方法的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jz2w28xn.html \"TensorFlow Renyi方法的使用\")\n         4. [TensorFlow 计算Renyi分歧](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nxd828xp.html \"TensorFlow 计算Renyi分歧\")\n         5. [TensorFlow Monte Carlo期望值计算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ki5j28xq.html \"TensorFlow Monte Carlo期望值计算\")\n         6. [TensorFlow Monte Carlo重要性抽样估计](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ncw28yi.html \"TensorFlow Monte Carlo重要性抽样估计\")\n         7. [TensorFlow 对数空间的重要性抽样估计](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l69t28yj.html \"TensorFlow 对数空间的重要性抽样估计\")\n         8. [TensorFlow 随机图的代理损失](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3szt2c8q.html \"TensorFlow 随机图的代理损失\")\n         9. [TensorFlow 发出随机值的张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gjl12c8u.html \"TensorFlow 发出随机值的张量\")\n         10. [TensorFlow 获取随机张量值类型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p4t22c8x.html \"TensorFlow 获取随机张量值类型\")\n         11. [TensorFlow 随机张量值类型的MeanValue类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1i7f2c8z.html \"TensorFlow 随机张量值类型的MeanValue类\")\n         12. [TensorFlow 具有观察值的 StochasticTensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ti6y2cb9.html \"TensorFlow 具有观察值的 StochasticTensor\")\n         13. [TensorFlow绘制样本](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qbe92cbc.html \"TensorFlow绘制样本\")\n         14. [TensorFlow StochasticTensor详细介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1hf42cbg.html \"TensorFlow StochasticTensor详细介绍\")\n         15. [TensorFlow创建值类型上下文](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bvh12cbi.html \"TensorFlow创建值类型上下文\")\n         16. [TensorFlow 变分推理操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7f3u2cbl.html \"TensorFlow 变分推理操作\")\n         17. [在TensorFlow中创建一个BigQueryReader](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9hat2cby.html \"在TensorFlow中创建一个BigQueryReader\")\n         18. [TensorFlow中copy的使用方法](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2giy2cci.html \"TensorFlow中copy的使用方法\")\n         19. [TensorFlow中与CRF有关的操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ivh2cct.html \"TensorFlow中与CRF有关的操作\")\n         20. [TensorFlow使用Cudnn实现模型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3rto2cg1.html \"TensorFlow使用Cudnn实现模型\")\n         21. [TensorFlow处理RNN参数变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-23ue2cgp.html \"TensorFlow处理RNN参数变量\")\n         22. [TensorFlow的数据集](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pqdr2cqn.html \"TensorFlow的数据集\")\n         23. [TensorFlow创建固定长度记录的Dataset](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1bi62crg.html \"TensorFlow创建固定长度记录的Dataset\")\n         24. [TensorFlow 使用Iterator类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yw2d2da8.html \"使用Iterator类\")\n         25. [TensorFlow读取批处理](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nari2da9.html \"TensorFlow读取批处理\")\n         26. [TensorFlow对数据集重新取样](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6qba2dbp.html \"TensorFlow对数据集重新取样\")\n         27. [TensorFlow文本文件行的数据集](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8pwb2dbr.html \"TensorFlow文本文件行的数据集\")\n         28. [包含TFRecord文件记录的数据集](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2rpy2dko.html \"包含TFRecord文件记录的数据集\")\n      5. [TensorFlow的errors模块](\"TensorFlow的errors模块\")\n         1. [TensorFlow的errors模块总览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7rsk2ctr.html \"TensorFlow的errors模块总览\")\n         2. [TensorFlow操作被中止](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b9o12ctt.html \"TensorFlow操作被中止\")\n         3. [TensorFlow处理已存在的error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-345n2czg.html \"TensorFlow处理已存在的error\")\n         4. [TensorFlow取消操作或步骤时引发的error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lyao2d13.html \"TensorFlow取消操作或步骤时引发的error\")\n         5. [DataLossError类的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jkzn2d16.html \"DataLossError类的使用\")\n         6. [处理DeadlineExceededError](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d9tr2d17.html \"处理DeadlineExceededError\")\n         7. [处理FailedPreconditionError](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wn6p2d19.html \"处理FailedPreconditionError\")\n         8. [InternalError的处理](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rp6e2d1a.html \"InternalError的处理\")\n         9. [TensorFlow的InvalidArgumentError类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uikg2d1b.html \"TensorFlow的InvalidArgumentError类\")\n         10. [NotFoundError如何引发](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-t62e2d50.html \"NotFoundError如何引发\")\n         11. [TensorFlow操作迭代超过有效的输入范围](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9buk2d51.html \"TensorFlow操作迭代超过有效的输入范围\")\n         12. [TensorFlow调用方没有运行操作权限怎么办](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gpte2d52.html \"TensorFlow调用方没有运行操作权限怎么办\")\n         13. [TensorFlow资源用尽引发的异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vbq62dc4.html \"TensorFlow资源用尽引发的异常\")\n         14. [TensorFlow无效身份验证引发的异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7u492dph.html \"TensorFlow无效身份验证引发的异常\")\n         15. [当前不可用的runtime异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wlqf2dpl.html \"当前不可用的runtime异常\")\n         16. [TensorFlow 操作未实现引发的异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3bme2dsc.html \"操作未实现会引发TensorFlow异常吗\")\n         17. [UnknownError异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gwvy2dsi.html \"UnknownError异常\")\n      6. [estimator模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xp3r2dl5.html \"estimator模块\")\n         1. [TensorFlow如何生成解析规范](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zwy42doy.html \"TensorFlow如何生成解析规范\")\n         2. [TensorFlow如何使用DNN模型分类器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9qls2dp4.html \"如何使用DNN模型分类器\")\n         3. [TensorFlow DNNLinear组合分类器的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4gn82dty.html \"DNNLinear组合分类器的使用\")\n         4. [TensorFlow DNN回归模型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9s7b2e08.html \"DNN回归模型\")\n         5. [TensorFlow DNN模型的回归器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-61mk2e0b.html \"DNN模型的回归器\")\n         6. [TensorFlow的estimator类函数：tf.estimator.Estimator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hd9a2oyb.html \"TensorFlow的estimator类函数：tf.estimator.Estimator\")\n         7. [TensorFlow函数：tf.estimator.EstimatorSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q5hc2ozv.html \"TensorFlow函数：tf.estimator.EstimatorSpec\")\n         8. [TensorFlow函数：tf.estimator.EvalSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2z8n2p0s.html \"TensorFlow函数：tf.estimator.EvalSpec\")\n         9. [TensorFlow函数：tf.estimator.Exporter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uqwb2p44.html \"TensorFlow函数：tf.estimator.Exporter\")\n         10. [TensorFlow函数：tf.estimator.FinalExporter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h5xt2p6i.html \"TensorFlow函数：tf.estimator.FinalExporter\")\n         11. [TensorFlow函数：tf.estimator.LatestExporter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-doct2p6k.html \"TensorFlow函数：tf.estimator.LatestExporter\")\n         12. [TensorFlow函数：tf.estimator.ModeKeys](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8gjs2p9i.html \"TensorFlow函数：tf.estimator.ModeKeys\")\n         13. [TensorFlow函数：tf.estimator.regressor\\_parse\\_example\\_spec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-itjb2p9l.html \"TensorFlow函数：tf.estimator.regressor_parse_example_spec\")\n         14. [TensorFlow函数：tf.estimator.RunConfig](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kc342pc7.html \"TensorFlow函数：tf.estimator.RunConfig\")\n         15. [TensorFlow函数：tf.estimator.TrainSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s7gp2pdn.html \"TensorFlow函数：tf.estimator.TrainSpec\")\n         16. [TensorFlow函数：tf.estimator.VocabInfo](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f6je2pe2.html \"TensorFlow函数：tf.estimator.VocabInfo\")\n         17. [TensorFlow函数：tf.estimator.WarmStartSettings](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2agr2pfl.html \"TensorFlow函数：tf.estimator.WarmStartSettings\")\n      7. [TensorFlow怎么使用gfile模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3d5z2ebb.html \"TensorFlow怎么使用gfile模块\")\n         1. [将TensorFlow文件数据复制到新路径](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5u2e2ebe.html \"将TensorFlow文件数据复制到新路径\")\n         2. [文件I\/O包装器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qevz2ed7.html \"文件I\/O包装器\")\n         3. [TensorFlow如何使用GFile类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ys1p2emt.html \"TensorFlow如何使用GFile类\")\n         4. [TensorFlow返回模式匹配文件列表](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b3iw2emv.html \"TensorFlow返回模式匹配文件列表\")\n         5. [TensorFlow函数：tf.gfile.IsDirectory](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-za3e2pi5.html \"TensorFlow函数：tf.gfile.IsDirectory\")\n         6. [TensorFlow函数：tf.gfile.ListDirectory](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3pqc2pl9.html \"TensorFlow函数：tf.gfile.ListDirectory\")\n         7. [TensorFlow函数：tf.gfile.MakeDirs](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-scx62plb.html \"TensorFlow函数：tf.gfile.MakeDirs\")\n         8. [TensorFlow函数：tf.gfile.MkDir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8aj72plc.html \"TensorFlow函数：tf.gfile.MkDir\")\n         9. [TensorFlow函数：tf.gfile.Remove](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zbfg2pp0.html \"TensorFlow函数：tf.gfile.Remove\")\n         10. [TensorFlow函数：tf.gfile.Rename](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-chf62pp5.html \"TensorFlow函数：tf.gfile.Rename\")\n         11. [TensorFlow函数：tf.gfile.Stat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fxgv2prh.html \"TensorFlow函数：tf.gfile.Stat\")\n         12. [TensorFlow函数：tf.gfile.Walk](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2qb42pri.html \"TensorFlow函数：tf.gfile.Walk\")\n      8. [TensorFlow的graph\\_util模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-45zy2ekn.html \"TensorFlow的graph_util模块\")\n         1. [TensorFlow如何用常量替换变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n9ix2ekq.html \"TensorFlow如何用常量替换变量\")\n         2. [如何操作TensorFlow张量图的节点](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tw1o2eku.html \"如何操作TensorFlow张量图的节点\")\n         3. [TensorFlow函数：tf.graph\\_util.must\\_run\\_on\\_cpu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-t2ip2ptc.html \"TensorFlow函数：tf.graph_util.must_run_on_cpu\")\n         4. [TensorFlow函数：tf.graph\\_util.remove\\_training\\_nodes](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jb2v2ptf.html \"TensorFlow函数：tf.graph_util.remove_training_nodes\")\n         5. [TensorFlow函数：tf.graph\\_util.tensor\\_shape\\_from\\_node\\_def\\_name](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3kwe2pvc.html \"TensorFlow函数：tf.graph_util.tensor_shape_from_node_def_name\")\n      9. [TensorFlow的image模块](\"TensorFlow的image模块\")\n         1. [TensorFlow模块：tf.image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zkgb2pve.html \"TensorFlow模块：tf.image\")\n         2. [TensorFlow函数：tf.image.adjust\\_brightness](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-doin2py9.html \"TensorFlow函数：tf.image.adjust_brightness\")\n         3. [TensorFlow函数：tf.image.adjust\\_contrast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ug9z2pyg.html \"TensorFlow函数：tf.image.adjust_contrast\")\n         4. [TensorFlow函数：tf.image.adjust\\_gamma](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ych22pzm.html \"TensorFlow函数：tf.image.adjust_gamma\")\n         5. [TensorFlow函数：tf.image.adjust\\_hue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zy382q20.html \"TensorFlow函数：tf.image.adjust_hue\")\n         6. [TensorFlow函数：tf.image.adjust\\_saturation](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2auk2q28.html \"TensorFlow函数：tf.image.adjust_saturation\")\n         7. [TensorFlow函数：tf.image.central\\_crop](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-43xt2q3t.html \"TensorFlow函数：tf.image.central_crop\")\n         8. [TensorFlow函数：tf.image.convert\\_image\\_dtype](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4m592q3z.html \"TensorFlow函数：tf.image.convert_image_dtype\")\n         9. [TensorFlow函数：tf.image.crop\\_and\\_resize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bwr22q6g.html \"TensorFlow函数：tf.image.crop_and_resize\")\n         10. [TensorFlow函数：tf.image.crop\\_to\\_bounding\\_box](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lq9p2q6k.html \"TensorFlow函数：tf.image.crop_to_bounding_box\")\n         11. [TensorFlow函数：tf.image.decode\\_and\\_crop\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e4on2q86.html \"TensorFlow函数：tf.image.decode_and_crop_jpeg\")\n         12. [TensorFlow函数：tf.image.decode\\_bmp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cqvt2q87.html \"TensorFlow函数：tf.image.decode_bmp\")\n         13. [TensorFlow函数：tf.image.decode\\_gif](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qeul2qa4.html \"TensorFlow函数：tf.image.decode_gif\")\n         14. [TensorFlow函数：tf.image.decode\\_image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ug6x2qa6.html \"TensorFlow函数：tf.image.decode_image\")\n         15. [TensorFlow函数：tf.image.decode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jkyc2qdv.html \"TensorFlow函数：tf.image.decode_jpeg\")\n         16. [TensorFlow函数：tf.image.decode\\_png](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o3id2qdw.html \"TensorFlow函数：tf.image.decode_png\")\n         17. [TensorFlow函数：tf.image.draw\\_bounding\\_boxes](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hvpu2qfz.html \"TensorFlow函数：tf.image.draw_bounding_boxes\")\n         18. [TensorFlow函数：tf.image.encode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2d8l2qg4.html \"TensorFlow函数：tf.image.encode_jpeg\")\n         19. [TensorFlow函数：tf.image.encode\\_png](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8dv62qil.html \"TensorFlow函数：tf.image.encode_png\")\n         20. [TensorFlow函数：tf.image.extract\\_glimpse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d6n72qim.html \"TensorFlow函数：tf.image.extract_glimpse\")\n         21. [TensorFlow函数：tf.image.extract\\_jpeg\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lke82qln.html \"TensorFlow函数：tf.image.extract_jpeg_shape\")\n         22. [TensorFlow函数：tf.image.flip\\_left\\_right](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-auzm2qlq.html \"TensorFlow函数：tf.image.flip_left_right\")\n         23. [TensorFlow函数：tf.image.flip\\_up\\_down](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i7l52qnw.html \"TensorFlow函数：tf.image.flip_up_down\")\n         24. [TensorFlow函数：tf.image.grayscale\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-781j2qnx.html \"TensorFlow函数：tf.image.grayscale_to_rgb\")\n         25. [TensorFlow函数：tf.image.hsv\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nkxe2qqk.html \"TensorFlow函数：tf.image.hsv_to_rgb\")\n         26. [TensorFlow函数：tf.image.image\\_gradients](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4q2f2qqn.html \"TensorFlow函数：tf.image.image_gradients\")\n         27. [TensorFlow函数：tf.image.is\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mzty2qqo.html \"TensorFlow函数：tf.image.is_jpeg\")\n         28. [TensorFlow函数：tf.image.non\\_max\\_suppression](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9qjv2qva.html \"TensorFlow函数：tf.image.non_max_suppression\")\n         29. [TensorFlow函数：tf.image.pad\\_to\\_bounding\\_box](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-afov2qvc.html \"TensorFlow函数：tf.image.pad_to_bounding_box\")\n         30. [TensorFlow函数：tf.image.per\\_image\\_standardization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vbyx2qyr.html \"TensorFlow函数：tf.image.per_image_standardization\")\n         31. [TensorFlow函数：tf.image.psnr](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j26v2qyu.html \"TensorFlow函数：tf.image.psnr\")\n         32. [TensorFlow函数：tf.image.random\\_brightness](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j4yp2r11.html \"TensorFlow函数：tf.image.random_brightness\")\n         33. [TensorFlow函数：tf.image.random\\_contrast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-famw2r12.html \"TensorFlow函数：tf.image.random_contrast\")\n         34. [TensorFlow函数：tf.image.random\\_flip\\_left\\_right](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-r6kb2r34.html \"TensorFlow函数：tf.image.random_flip_left_right\")\n         35. [TensorFlow函数：tf.image.random\\_flip\\_up\\_down](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-867h2r35.html \"TensorFlow函数：tf.image.random_flip_up_down\")\n         36. [TensorFlow函数：tf.image.random\\_hue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j7n62r6t.html \"TensorFlow函数：tf.image.random_hue\")\n         37. [TensorFlow函数：tf.image.random\\_saturation](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zg3y2r6w.html \"TensorFlow函数：tf.image.random_saturation\")\n         38. [TensorFlow函数：tf.image.ResizeMethod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6poe2r9f.html \"TensorFlow函数：tf.image.ResizeMethod\")\n         39. [TensorFlow函数：tf.image.resize\\_area](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yh7f2r9i.html \"TensorFlow函数：tf.image.resize_area\")\n         40. [TensorFlow函数：tf.image.resize\\_bicubic](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7jlr2rbr.html \"TensorFlow函数：tf.image.resize_bicubic\")\n         41. [TensorFlow函数：tf.image.resize\\_bilinear](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nk642rbu.html \"TensorFlow函数：tf.image.resize_bilinear\")\n         42. [TensorFlow函数：tf.image.resize\\_images](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5ymn2rer.html \"TensorFlow函数：tf.image.resize_images\")\n         43. [TensorFlow函数：tf.image.resize\\_image\\_with\\_crop\\_or\\_pad](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dh432reu.html \"TensorFlow函数：tf.image.resize_image_with_crop_or_pad\")\n         44. [TensorFlow函数：tf.image.resize\\_nearest\\_neighbor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u5bi2rgy.html \"TensorFlow函数：tf.image.resize_nearest_neighbor\")\n         45. [TensorFlow函数：tf.image.rgb\\_to\\_grayscale](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zbj52rgz.html \"TensorFlow函数：tf.image.rgb_to_grayscale\")\n         46. [TensorFlow函数：tf.image.rgb\\_to\\_hsv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j8iz2rk5.html \"TensorFlow函数：tf.image.rgb_to_hsv\")\n         47. [TensorFlow函数：tf.image.rgb\\_to\\_yiq](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6tzf2rk6.html \"TensorFlow函数：tf.image.rgb_to_yiq\")\n         48. [TensorFlow函数：tf.image.rgb\\_to\\_yuv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-evcn2rm9.html \"TensorFlow函数：tf.image.rgb_to_yuv\")\n         49. [TensorFlow函数：tf.image.rot90](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ukgr2rmg.html \"TensorFlow函数：tf.image.rot90\")\n         50. [TensorFlow函数：tf.image.sample\\_distorted\\_bounding\\_box](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vmxq2rpm.html \"TensorFlow函数：tf.image.sample_distorted_bounding_box\")\n         51. [TensorFlow函数：tf.image.sobel\\_edges](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-szpy2rq1.html \"TensorFlow函数：tf.image.sobel_edges\")\n         52. [TensorFlow函数：tf.image.ssim](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c5xz2rsh.html \"TensorFlow函数：tf.image.ssim\")\n         53. [TensorFlow函数：tf.image.ssim\\_multiscale](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hr7w2rsi.html \"TensorFlow函数：tf.image.ssim_multiscale\")\n         54. [TensorFlow函数：tf.image.total\\_variation](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b5232ru7.html \"TensorFlow函数：tf.image.total_variation\")\n         55. [TensorFlow函数：tf.image.transpose\\_image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5f7x2rua.html \"TensorFlow函数：tf.image.transpose_image\")\n         56. [TensorFlow函数：tf.image.yiq\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4r5c2rzy.html \"TensorFlow函数：tf.image.yiq_to_rgb\")\n         57. [TensorFlow函数：tf.image.yuv\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s2v72s08.html \"TensorFlow函数：tf.image.yuv_to_rgb\")\n      10. [TensorFlow使用之tf.initializers](\"TensorFlow使用之tf.initializers\")\n          1. [TensorFlow模块：tf.initializers](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1n242s3h.html \"TensorFlow模块：tf.initializers\")\n          2. [TensorFlow函数：tf.initializers.identity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d6sg2s3k.html \"TensorFlow函数：tf.initializers.identity\")\n      11. [TensorFlow使用之tf.io](\"TensorFlow使用之tf.io\")\n          1. [tf.io概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io.html \"tf.io概览\")\n          2. [decode\\_and\\_crop\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_and_crop_jpeg.html \"TensorFlow函数教程：tf.io.decode_and_crop_jpeg\")\n          3. [decode\\_base64](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_base64.html \"TensorFlow函数教程：tf.io.decode_base64\")\n          4. [decode\\_bmp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_bmp.html \"TensorFlow函数教程：tf.io.decode_bmp\")\n          5. [decode\\_compressed](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_compressed.html \"TensorFlow函数教程：tf.io.decode_compressed\")\n          6. [decode\\_csv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_csv.html \"TensorFlow函数教程：tf.io.decode_csv\")\n          7. [decode\\_gif](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_gif.html \"TensorFlow函数教程：tf.io.decode_gif\")\n          8. [decode\\_image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_image.html \"TensorFlow函数教程：tf.io.decode_image\")\n          9. [decode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_jpeg.html \"TensorFlow函数教程：tf.io.decode_jpeg\")\n          10. [decode\\_json\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_json_example.html \"TensorFlow函数教程：tf.io.decode_json_example\")\n          11. [decode\\_png](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_png.html \"TensorFlow函数教程：tf.io.decode_png\")\n          12. [decode\\_raw](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_raw.html \"TensorFlow函数教程：tf.io.decode_raw\")\n          13. [deserialize\\_many\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_deserialize_many_sparse.html \"TensorFlow函数教程：tf.io.deserialize_many_sparse\")\n          14. [encode\\_base64](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_encode_base64.html \"TensorFlow函数教程：tf.io.encode_base64\")\n          15. [encode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_encode_jpeg.html \"TensorFlow函数教程：tf.io.encode_jpeg\")\n          16. [extract\\_jpeg\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_extract_jpeg_shape.html \"TensorFlow函数教程：tf.io.extract_jpeg_shape\")\n          17. [FixedLenFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_FixedLenFeature.html \"TensorFlow函数教程：tf.io.FixedLenFeature\")\n          18. [FixedLenSequenceFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_FixedLenSequenceFeature.html \"TensorFlow函数教程：tf.io.FixedLenSequenceFeature\")\n          19. [is\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_is_jpeg.html \"TensorFlow函数教程：tf.io.is_jpeg\")\n          20. [matching\\_files](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_matching_files.html \"TensorFlow函数教程：tf.io.matching_files\")\n          21. [match\\_filenames\\_once](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_match_filenames_once.html \"TensorFlow函数教程：tf.io.match_filenames_once\")\n          22. [PaddingFIFOQueue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_PaddingFIFOQueue.html \"TensorFlow函数教程：tf.io.PaddingFIFOQueue\")\n          23. [parse\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_example.html \"TensorFlow函数教程：tf.io.parse_example\")\n          24. [parse\\_sequence\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_sequence_example.html \"TensorFlow函数教程：tf.io.parse_sequence_example\")\n          25. [parse\\_single\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_single_example.html \"TensorFlow函数教程：tf.io.parse_single_example\")\n          26. [parse\\_single\\_sequence\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_single_sequence_example.html \"TensorFlow函数教程：tf.io.parse_single_sequence_example\")\n          27. [parse\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_tensor.html \"TensorFlow函数教程：tf.io.parse_tensor\")\n          28. [read\\_file](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_read_file.html \"TensorFlow函数教程：tf.io.read_file\")\n          29. [serialize\\_many\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_serialize_many_sparse.html \"TensorFlow函数教程：tf.io.serialize_many_sparse\")\n          30. [serialize\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_serialize_sparse.html \"TensorFlow函数教程：tf.io.serialize_sparse\")\n          31. [serialize\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_serialize_tensor.html \"TensorFlow函数教程：tf.io.serialize_tensor\")\n          32. [SparseFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_SparseFeature.html \"TensorFlow函数教程：tf.io.SparseFeature\")\n          33. [TFRecordCompressionType](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_TFRecordCompressionType.html \"TensorFlow函数教程：tf.io.TFRecordCompressionType\")\n          34. [TFRecordOptions](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_TFRecordOptions.html \"TensorFlow函数教程：tf.io.TFRecordOptions\")\n          35. [TFRecordWriter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_TFRecordWriter.html \"TensorFlow函数教程：tf.io.TFRecordWriter\")\n          36. [tf\\_record\\_iterator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_tf_record_iterator.html \"TensorFlow函数教程：tf.io.tf_record_iterator\")\n          37. [VarLenFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_VarLenFeature.html \"TensorFlow函数教程：tf.io.VarLenFeature\")\n          38. [write\\_file](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_write_file.html \"TensorFlow函数教程：tf.io.write_file\")\n          39. [write\\_graph](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_write_graph.html \"TensorFlow函数教程：tf.io.write_graph\")\n          40. [gfile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile.html \"TensorFlow函数教程：tf.io.gfile\")\n              1. [copy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_copy.html \"TensorFlow函数教程：tf.io.gfile.copy\")\n              2. [exists](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_exists.html \"TensorFlow函数教程：tf.io.gfile.exists\")\n              3. [GFile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_GFile.html \"TensorFlow函数教程：tf.io.gfile.GFile\")\n              4. [glob](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_glob.html \"TensorFlow函数教程：tf.io.gfile.glob\")\n              5. [isdir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_isdir.html \"TensorFlow函数教程：tf.io.gfile.isdir\")\n              6. [listdir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_listdir.html \"TensorFlow函数教程：tf.io.gfile.listdir\")\n              7. [makedirs](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_makedirs.html \"TensorFlow函数教程：tf.io.gfile.makedirs\")\n              8. [mkdir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_mkdir.html \"TensorFlow函数教程：tf.io.gfile.mkdir\")\n              9. [remove](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_remove.html \"TensorFlow函数教程：tf.io.gfile.remove\")\n              10. [rename](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_rename.html \"TensorFlow函数教程：tf.io.gfile.rename\")\n              11. [rmtree](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_rmtree.html \"TensorFlow函数教程：tf.io.gfile.rmtree\")\n              12. [stat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_stat.html \"TensorFlow函数教程：tf.io.gfile.stat\")\n              13. [walk](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_walk.html \"TensorFlow函数教程：tf.io.gfile.walk\")\n      12. [TensorFlow使用之tf.keras](\"TensorFlow使用之tf.keras\")\n          1. [TensorFlow模块：tf.keras](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5dym2s6j.html \"TensorFlow模块：tf.keras\")\n          2. [Input](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-63xs2s6r.html \"TensorFlow函数：tf.keras.Input\")\n          3. [activations](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations.html \"TensorFlow函数教程：tf.keras.activations\")\n             1. [deserialize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_deserialize.html \"TensorFlow函数教程：tf.keras.activations.deserialize\")\n             2. [elu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_elu.html \"TensorFlow函数教程：tf.keras.activations.elu\")\n             3. [exponential](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_exponential.html \"TensorFlow函数教程：tf.keras.activations.exponential\")\n             4. [get](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_get.html \"TensorFlow函数教程：tf.keras.activations.get\")\n             5. [hard\\_sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_hard_sigmoid.html \"TensorFlow函数教程：tf.keras.activations.hard_sigmoid\")\n             6. [linear](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_linear.html \"TensorFlow函数教程：tf.keras.activations.linear\")\n             7. [relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_relu.html \"TensorFlow函数教程：tf.keras.activations.relu\")\n             8. [selu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_selu.html \"TensorFlow函数教程：tf.keras.activations.selu\")\n             9. [serialize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_serialize.html \"TensorFlow函数教程：tf.keras.activations.serialize\")\n             10. [sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_sigmoid.html \"TensorFlow函数教程：tf.keras.activations.sigmoid\")\n             11. [softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_softmax.html \"TensorFlow函数教程：tf.keras.activations.softmax\")\n             12. [softplus](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_softplus.html \"TensorFlow函数教程：tf.keras.activations.softplus\")\n             13. [softsign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_softsign.html \"TensorFlow函数教程：tf.keras.activations.softsign\")\n             14. [tanh](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_tanh.html \"TensorFlow函数教程：tf.keras.activations.tanh\")\n          4. [applications](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_applications.html \"TensorFlow函数教程：tf.keras.applications\")\n          5. [backend](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend.html \"TensorFlow函数教程：tf.keras.backend\")\n             1. [abs](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_abs.html \"TensorFlow函数教程：tf.keras.backend.abs\")\n             2. [all](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_all.html \"TensorFlow函数教程：tf.keras.backend.all\")\n             3. [any](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_any.html \"TensorFlow函数教程：tf.keras.backend.any\")\n             4. [arange](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_arange.html \"TensorFlow函数教程：tf.keras.backend.arange\")\n             5. [argmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_argmax.html \"TensorFlow函数教程：tf.keras.backend.argmax\")\n             6. [argmin](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_argmin.html \"TensorFlow函数教程：tf.keras.backend.argmin\")\n             7. [backend](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_backend.html \"TensorFlow函数教程：tf.keras.backend.backend\")\n             8. [batch\\_dot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_dot.html \"TensorFlow函数教程：tf.keras.backend.batch_dot\")\n             9. [batch\\_flatten](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_flatten.html \"TensorFlow函数教程：tf.keras.backend.batch_flatten\")\n             10. [batch\\_get\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_get_value.html \"TensorFlow函数教程：tf.keras.backend.batch_get_value\")\n             11. [batch\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_normalization.html \"TensorFlow函数教程：tf.keras.backend.batch_normalization\")\n             12. [batch\\_set\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_set_value.html \"TensorFlow函数教程：tf.keras.backend.batch_set_value\")\n             13. [bias\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_bias_add.html \"TensorFlow函数教程：tf.keras.backend.bias_add\")\n             14. [binary\\_crossentropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_binary_crossentropy.html \"TensorFlow函数教程：tf.keras.backend.binary_crossentropy\")\n             15. [cast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_cast.html \"TensorFlow函数教程：tf.keras.backend.cast\")\n             16. [cast\\_to\\_floatx](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_cast_to_floatx.html \"TensorFlow函数教程：tf.keras.backend.cast_to_floatx\")\n             17. [categorical\\_crossentropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_categorical_crossentropy.html \"TensorFlow函数教程：tf.keras.backend.categorical_crossentropy\")\n             18. [clear\\_session](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_clear_session.html \"TensorFlow函数教程：tf.keras.backend.clear_session\")\n             19. [clip](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_clip.html \"TensorFlow函数教程：tf.keras.backend.clip\")\n             20. [concatenate](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_concatenate.html \"TensorFlow函数教程：tf.keras.backend.concatenate\")\n             21. [constant](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_constant.html \"TensorFlow函数教程：tf.keras.backend.constant\")\n             22. [conv1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv1d.html \"TensorFlow函数教程：tf.keras.backend.conv1d\")\n             23. [conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv2d.html \"TensorFlow函数教程：tf.keras.backend.conv2d\")\n             24. [conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv2d_transpose.html \"TensorFlow函数教程：tf.keras.backend.conv2d_transpose\")\n             25. [conv3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv3d.html \"TensorFlow函数教程：tf.keras.backend.conv3d\")\n             26. [cos](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_cos.html \"TensorFlow函数教程：tf.keras.backend.cos\")\n             27. [count\\_params](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_count_params.html \"TensorFlow函数教程：tf.keras.backend.count_params\")\n             28. [ctc\\_batch\\_cost](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ctc_batch_cost.html \"TensorFlow函数教程：tf.keras.backend.ctc_batch_cost\")\n             29. [ctc\\_decode](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ctc_decode.html \"TensorFlow函数教程：tf.keras.backend.ctc_decode\")\n             30. [ctc\\_label\\_dense\\_to\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ctc_label_dense_to_sparse.html \"TensorFlow函数教程：tf.keras.backend.ctc_label_dense_to_sparse\")\n             31. [dot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_dot.html \"TensorFlow函数教程：tf.keras.backend.dot\")\n             32. [dropout](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_dropout.html \"TensorFlow函数教程：tf.keras.backend.dropout\")\n             33. [dtype](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_dtype.html \"TensorFlow函数教程：tf.keras.backend.dtype\")\n             34. [elu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_elu.html \"TensorFlow函数教程：tf.keras.backend.elu\")\n             35. [epsilon](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_epsilon.html \"TensorFlow函数教程：tf.keras.backend.epsilon\")\n             36. [equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_equal.html \"TensorFlow函数教程：tf.keras.backend.equal\")\n             37. [eval](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_eval.html \"TensorFlow函数教程：tf.keras.backend.eval\")\n             38. [exp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_exp.html \"TensorFlow函数教程：tf.keras.backend.exp\")\n             39. [expand\\_dims](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_expand_dims.html \"TensorFlow函数教程：tf.keras.backend.expand_dims\")\n             40. [eye](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_eye.html \"TensorFlow函数教程：tf.keras.backend.eye\")\n             41. [flatten](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_flatten.html \"TensorFlow函数教程：tf.keras.backend.flatten\")\n             42. [floatx](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_floatx.html \"TensorFlow函数教程：tf.keras.backend.floatx\")\n             43. [foldl](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_foldl.html \"TensorFlow函数教程：tf.keras.backend.foldl\")\n             44. [foldr](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_foldr.html \"TensorFlow函数教程：tf.keras.backend.foldr\")\n             45. [function](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_function.html \"TensorFlow函数教程：tf.keras.backend.function\")\n             46. [gather](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_gather.html \"TensorFlow函数教程：tf.keras.backend.gather\")\n             47. [get\\_session](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_get_session.html \"TensorFlow函数教程：tf.keras.backend.get_session\")\n             48. [get\\_uid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_get_uid.html \"TensorFlow函数教程：tf.keras.backend.get_uid\")\n             49. [get\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_get_value.html \"TensorFlow函数教程：tf.keras.backend.get_value\")\n             50. [gradients](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_gradients.html \"TensorFlow函数教程：tf.keras.backend.gradients\")\n             51. [greater](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_greater.html \"TensorFlow函数教程：tf.keras.backend.greater\")\n             52. [greater\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_greater_equal.html \"TensorFlow函数教程：tf.keras.backend.greater_equal\")\n             53. [hard\\_sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_hard_sigmoid.html \"TensorFlow函数教程：tf.keras.backend.hard_sigmoid\")\n             54. [image\\_data\\_format](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_image_data_format.html \"TensorFlow函数教程：tf.keras.backend.image_data_format\")\n             55. [int\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_int_shape.html \"TensorFlow函数教程：tf.keras.backend.int_shape\")\n             56. [in\\_test\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_in_test_phase.html \"TensorFlow函数教程：tf.keras.backend.in_test_phase\")\n             57. [in\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_in_top_k.html \"TensorFlow函数教程：tf.keras.backend.in_top_k\")\n             58. [in\\_train\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_in_train_phase.html \"TensorFlow函数教程：tf.keras.backend.in_train_phase\")\n             59. [is\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_is_sparse.html \"TensorFlow函数教程：tf.keras.backend.is_sparse\")\n             60. [l2\\_normalize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_l2_normalize.html \"TensorFlow函数教程：tf.keras.backend.l2_normalize\")\n             61. [learning\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_learning_phase.html \"TensorFlow函数教程：tf.keras.backend.learning_phase\")\n             62. [less](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_less.html \"TensorFlow函数教程：tf.keras.backend.less\")\n             63. [less\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_less_equal.html \"TensorFlow函数教程：tf.keras.backend.less_equal\")\n             64. [log](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_log.html \"TensorFlow函数教程：tf.keras.backend.log\")\n             65. [manual\\_variable\\_initialization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_manual_variable_initialization.html \"TensorFlow函数教程：tf.keras.backend.manual_variable_initialization\")\n             66. [map\\_fn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_map_fn.html \"TensorFlow函数教程：tf.keras.backend.map_fn\")\n             67. [max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_max.html \"TensorFlow函数教程：tf.keras.backend.max\")\n             68. [maximum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_maximum.html \"TensorFlow函数教程：tf.keras.backend.maximum\")\n             69. [mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_mean.html \"TensorFlow函数教程：tf.keras.backend.meantf.keras.backend.mean\")\n             70. [min](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_min.html \"TensorFlow函数教程：tf.keras.backend.min\")\n             71. [minimum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_minimum.html \"TensorFlow函数教程：tf.keras.backend.minimum\")\n             72. [moving\\_average\\_update](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_moving_average_update.html \"TensorFlow函数教程：tf.keras.backend.moving_average_update\")\n             73. [ndim](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ndim.html \"TensorFlow函数教程：tf.keras.backend.ndim\")\n             74. [normalize\\_batch\\_in\\_training](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_normalize_batch_in_training.html \"TensorFlow函数教程：tf.keras.backend.normalize_batch_in_training\")\n             75. [not\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_not_equal.html \"TensorFlow函数教程：tf.keras.backend.not_equal\")\n             76. [ones](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ones.html \"TensorFlow函数教程：tf.keras.backend.ones\")\n             77. [ones\\_like](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ones_like.html \"TensorFlow函数教程：tf.keras.backend.ones_like\")\n             78. [one\\_hot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_one_hot.html \"TensorFlow函数教程：tf.keras.backend.one_hot\")\n             79. [permute\\_dimensions](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_permute_dimensions.html \"TensorFlow函数教程：tf.keras.backend.permute_dimensions\")\n             80. [placeholder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_placeholder.html \"TensorFlow函数教程：tf.keras.backend.placeholder\")\n             81. [pool2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_pool2d.html \"TensorFlow函数教程：tf.keras.backend.pool2d\")\n             82. [pool3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_pool3d.html \"TensorFlow函数教程：tf.keras.backend.pool3d\")\n             83. [pow](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_pow.html \"TensorFlow函数教程：tf.keras.backend.pow\")\n             84. [print\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_print_tensor.html \"TensorFlow函数教程：tf.keras.backend.print_tensor\")\n             85. [prod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_prod.html \"TensorFlow函数教程：tf.keras.backend.prod\")\n             86. [random\\_binomial](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_binomial.html \"TensorFlow函数教程：tf.keras.backend.random_binomial\")\n             87. [random\\_normal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_normal.html \"TensorFlow函数教程：tf.keras.backend.random_normal\")\n             88. [random\\_normal\\_variable](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hwy730lx.html \"TensorFlow函数教程：tf.keras.backend.random_normal_variable\")\n             89. [random\\_uniform](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_uniform.html \"TensorFlow函数教程：tf.keras.backend.random_uniform\")\n             90. [random\\_uniform\\_variable](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_uniform_variable.html \"TensorFlow函数教程：tf.keras.backend.random_uniform_variable\")\n             91. [relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_relu.html \"TensorFlow函数教程：tf.keras.backend.relu\")\n             92. [repeat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_repeat.html \"TensorFlow函数教程：tf.keras.backend.repeat\")\n             93. [repeat\\_elements](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_repeat_elements.html \"TensorFlow函数教程：tf.keras.backend.repeat_elements\")\n             94. [reset\\_uids](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_reset_uids.html \"TensorFlow函数教程：tf.keras.backend.reset_uids\")\n             95. [reshape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_reshape.html \"TensorFlow函数教程：tf.keras.backend.reshape\")\n             96. [resize\\_images](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_resize_images.html \"TensorFlow函数教程：tf.keras.backend.resize_images\")\n             97. [resize\\_volumes](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_resize_volumes.html \"TensorFlow函数教程：tf.keras.backend.resize_volumes\")\n             98. [reverse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_reverse.html \"TensorFlow函数教程：tf.keras.backend.reverse\")\n             99. [rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_rnn.html \"TensorFlow函数教程：tf.keras.backend.rnn\")\n             100. [round](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_round.html \"TensorFlow函数教程：tf.keras.backend.round\")\n             101. [separable\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_separable_conv2d.html \"TensorFlow函数教程：tf.keras.backend.separable_conv2d\")\n             102. [set\\_epsilon](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_epsilon.html \"TensorFlow函数教程：tf.keras.backend.set_epsilon\")\n             103. [set\\_floatx](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_floatx.html \"TensorFlow函数教程：tf.keras.backend.set_floatx\")\n             104. [set\\_image\\_data\\_format](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_image_data_format.html \"TensorFlow函数教程：tf.keras.backend.set_image_data_format\")\n             105. [set\\_learning\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_learning_phase.html \"TensorFlow函数教程：tf.keras.backend.set_learning_phase\")\n             106. [set\\_session](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_session.html \"TensorFlow函数教程：tf.keras.backend.set_session\")\n             107. [set\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_value.html \"TensorFlow函数教程：tf.keras.backend.set_value\")\n             108. [shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_shape.html \"TensorFlow函数教程：tf.keras.backend.shape\")\n             109. [sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sigmoid.html \"TensorFlow函数教程：tf.keras.backend.sigmoid\")\n             110. [sign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sign.html \"TensorFlow函数教程：tf.keras.backend.sign\")\n             111. [sin](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rvm2319m.html \"TensorFlow函数教程：tf.keras.backend.sin\")\n             112. [softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aitj319n.html \"TensorFlow函数教程：tf.keras.backend.softmax\")\n             113. [softplus](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_softplus.html \"TensorFlow函数教程：tf.keras.backend.softplus\")\n             114. [softsign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_softsign.html \"TensorFlow函数教程：tf.keras.backend.softsign\")\n             115. [sparse\\_categorical\\_crossentropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sparse_categorical_crossentropy.html \"TensorFlow函数教程：tf.keras.backend.sparse_categorical_crossentropy\")\n             116. [spatial\\_2d\\_padding](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_spatial_2d_padding.html \"TensorFlow函数教程：tf.keras.backend.spatial_2d_padding\")\n             117. [spatial\\_3d\\_padding](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_spatial_3d_padding.html \"TensorFlow函数教程：tf.keras.backend.spatial_3d_padding\")\n             118. [sqrt](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sqrt.html \"TensorFlow函数教程：tf.keras.backend.sqrt\")\n             119. [square](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_square.html \"TensorFlow函数教程：tf.keras.backend.square\")\n             120. [squeeze](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_squeeze.html \"TensorFlow函数教程：tf.keras.backend.squeeze\")\n             121. [stack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_stack.html \"TensorFlow函数教程：tf.keras.backend.stack\")\n             122. [std](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_std.html \"TensorFlow函数教程：tf.keras.backend.std\")\n             123. [stop\\_gradient](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_stop_gradient.html \"TensorFlow函数教程：tf.keras.backend.stop_gradient\")\n          6. [callbacks](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks.html \"TensorFlow回调函数：tf.keras.callbacks\")\n             1. [BaseLogger](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_BaseLogger.html \"TensorFlow回调函数：tf.keras.callbacks.BaseLogger\")\n             2. [Callback](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_Callback.html \"TensorFlow回调函数：tf.keras.callbacks.Callback\")\n             3. [CSVLogger](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_CSVLogger.html \"TensorFlow回调函数：tf.keras.callbacks.CSVLogger\")\n             4. [EarlyStopping](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_EarlyStopping.html \"TensorFlow函数教程：tf.keras.callbacks.EarlyStopping\")\n             5. [History](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5l7y30rc.html \"TensorFlow回调函数：tf.keras.callbacks.History\")\n             6. [LambdaCallback](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_LambdaCallback.html \"TensorFlow回调函数：tf.keras.callbacks.LambdaCallback\")\n             7. [LearningRateScheduler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_LearningRateScheduler.html \"TensorFlow回调函数：tf.keras.callbacks.LearningRateScheduler\")\n             8. [ModelCheckpoint](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_ModelCheckpoint.html \"TensorFlow回调函数：tf.keras.callbacks.ModelCheckpoint\")\n             9. [ProgbarLogger](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_ProgbarLogger.html \"TensorFlow回调函数：tf.keras.callbacks.ProgbarLogger\")\n             10. [ReduceLROnPlateau](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_ReduceLROnPlateau.html \"TensorFlow回调函数：tf.keras.callbacks.ReduceLROnPlateau\")\n             11. [RemoteMonitor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_RemoteMonitor.html \"TensorFlow回调函数：tf.keras.callbacks.RemoteMonitor\")\n             12. [TensorBoard](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_TensorBoard.html \"TensorFlow回调函数：tf.keras.callbacks.TensorBoard\")\n             13. [TerminateOnNaN](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_TerminateOnNaN.html \"TensorFlow回调函数：tf.keras.callbacks.TerminateOnNaN\")\n      13. [TensorFlow使用之tf.layers](\"TensorFlow使用之tf.layers\")\n          1. [TensorFlow模块：tf.layers](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-59ay2s9i.html \"TensorFlow模块：tf.layers\")\n          2. [TensorFlow函数：tf.layers.AveragePooling1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-urdf2sbx.html \"TensorFlow函数：tf.layers.AveragePooling1D\")\n          3. [TensorFlow函数：tf.layers.AveragePooling2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gylv2sh9.html \"TensorFlow函数：tf.layers.AveragePooling2D\")\n          4. [TensorFlow函数：tf.layers.AveragePooling3D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ctf72spr.html \"TensorFlow函数：tf.layers.AveragePooling3D\")\n          5. [TensorFlow函数：tf.layers.average\\_pooling1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9vac2sn1.html \"TensorFlow函数：tf.layers.average_pooling1d\")\n          6. [TensorFlow函数：tf.layers.average\\_pooling2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n5g92sn2.html \"TensorFlow函数：tf.layers.average_pooling2d\")\n          7. [TensorFlow函数：tf.layers.average\\_pooling3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6ftn2ssw.html \"TensorFlow函数：tf.layers.average_pooling3d\")\n          8. [TensorFlow函数：tf.layers.batch\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-13p92sws.html \"TensorFlow函数：tf.layers.batch_normalization\")\n          9. [TensorFlow函数：tf.layers.Conv1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-283f2t0b.html \"TensorFlow函数：tf.layers.Conv1D\")\n          10. [TensorFlow函数：tf.layers.Conv2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p6qw2t3y.html \"TensorFlow函数：tf.layers.Conv2D\")\n          11. [TensorFlow函数：tf.layers.Conv2DTranspose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wfg62t8h.html \"TensorFlow函数：tf.layers.Conv2DTranspose\")\n          12. [TensorFlow函数：tf.layers.conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z2xe2sk5.html \"TensorFlow函数：tf.layers.conv2d_transpose\")\n          13. [TensorFlow函数：tf.layers.Conv3D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nmqk2tgg.html \"TensorFlow函数：tf.layers.Conv3D\")\n          14. [TensorFlow函数：tf.layers.conv3d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hzky2swu.html \"TensorFlow函数：tf.layers.conv3d_transpose\")\n          15. [TensorFlow函数：tf.layers.InputSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yq9h2tcv.html \"TensorFlow函数：tf.layers.InputSpec\")\n          16. [TensorFlow函数：tf.layers.Conv3DTranspose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g9yf2tlo.html \"TensorFlow函数：tf.layers.Conv3DTranspose\")\n          17. [TensorFlow函数：tf.layers.Dense](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rn6a2tps.html \"TensorFlow函数：tf.layers.Dense\")\n          18. [TensorFlow函数：tf.layers.Dropout](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7pne2tsr.html \"TensorFlow函数：tf.layers.Dropout\")\n          19. [TensorFlow函数：tf.layers.Flatten](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dw3m2twu.html \"TensorFlow函数：tf.layers.Flatten\")\n          20. [TensorFlow函数：tf.layers.Layer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hlym2u18.html \"TensorFlow函数：tf.layers.Layer\")\n          21. [TensorFlow函数：tf.layers.MaxPooling1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nwol2uyr.html \"TensorFlow函数：tf.layers.MaxPooling1D\")\n          22. [TensorFlow函数：tf.layers.MaxPooling2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ycgz2v16.html \"TensorFlow函数：tf.layers.MaxPooling2D\")\n          23. [TensorFlow函数：tf.layers.MaxPooling3D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ef6g2v4j.html \"TensorFlow函数：tf.layers.MaxPooling3D\")\n          24. [TensorFlow函数：tf.layers.max\\_pooling1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-skct2u4z.html \"TensorFlow函数：tf.layers.max_pooling1d\")\n          25. [TensorFlow函数：tf.layers.max\\_pooling2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j4ni2u54.html \"TensorFlow函数：tf.layers.max_pooling2d\")\n          26. [TensorFlow函数：tf.layers.max\\_pooling3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6hbw2u9w.html \"TensorFlow函数：tf.layers.max_pooling3d\")\n          27. [TensorFlow函数：tf.layers.SeparableConv1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hpby2uee.html \"TensorFlow函数：tf.layers.SeparableConv1D\")\n          28. [TensorFlow函数：tf.layers.SeparableConv2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tsoq2uia.html \"TensorFlow函数：tf.layers.SeparableConv2D\")\n          29. [TensorFlow函数：tf.layers.separable\\_conv1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4fdm2umu.html \"TensorFlow函数：tf.layers.separable_conv1d\")\n          30. [TensorFlow函数：tf.layers.separable\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5d1u2ur5.html \"TensorFlow函数：tf.layers.separable_conv2d\")\n          31. [TensorFlow函数：tf.layers.BatchNormalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s9w62v9e.html \"TensorFlow函数：tf.layers.BatchNormalization\")\n      14. [TensorFlow使用之Python\/tf.linalg](\"TensorFlow使用之Python\/tf.linalg\")\n          1. [TensorFlow模块：tf.linalg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pcx62vdu.html \"TensorFlow模块：tf.linalg\")\n          2. [TensorFlow函数：tf.linalg.adjoint](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ej832ve7.html \"TensorFlow函数：tf.linalg.adjoint\")\n          3. [TensorFlow函数：tf.linalg.expm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-oh8z2vh5.html \"TensorFlow函数：tf.linalg.expm\")\n          4. [TensorFlow函数：tf.linalg.logdet](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ljeo2vkt.html \"TensorFlow函数：tf.linalg.logdet\")\n          5. [TensorFlow函数：tf.linalg.logm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-649l2vnj.html \"TensorFlow函数：tf.linalg.logm\")\n          6. [TensorFlow函数：tf.linalg.slogdet](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9tch2vnk.html \"TensorFlow函数：tf.linalg.slogdet\")\n          7. [TensorFlow函数：tf.linalg.LinearOperator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cfyd2vro.html \"TensorFlow函数：tf.linalg.LinearOperator\")\n      15. [TensorFlow使用之tf.logging](\"TensorFlow使用之tf.logging\")\n          1. [TensorFlow模块：tf.logging](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2s9x2w1v.html \"TensorFlow模块：tf.logging\")\n          2. [TensorFlow函数：tf.logging.debug](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-18li2w8a.html \"TensorFlow函数：tf.logging.debug\")\n          3. [TensorFlow函数：tf.logging.error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-su1d2w8b.html \"TensorFlow函数：tf.logging.error\")\n          4. [TensorFlow函数：tf.logging.fatal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-djo72w8c.html \"TensorFlow函数：tf.logging.fatal\")\n          5. [TensorFlow函数：tf.logging.flush](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4fvn2wbw.html \"TensorFlow函数：tf.logging.flush\")\n          6. [TensorFlow函数：tf.logging.get\\_verbosity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h8xe2wby.html \"TensorFlow函数：tf.logging.get_verbosity\")\n          7. [TensorFlow函数：tf.logging.info](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5fdi2wbz.html \"TensorFlow函数：tf.logging.info\")\n          8. [TensorFlow函数：tf.logging.log](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-csdb2wc0.html \"TensorFlow函数：tf.logging.log\")\n          9. [TensorFlow函数：tf.logging.log\\_every\\_n](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ve5f2wc2.html \"TensorFlow函数：tf.logging.log_every_n\")\n          10. [TensorFlow函数：tf.logging.log\\_first\\_n](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sk182wf5.html \"TensorFlow函数：tf.logging.log_first_n\")\n          11. [TensorFlow函数：tf.logging.log\\_if](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4tym2wf7.html \"TensorFlow函数：tf.logging.log_if\")\n          12. [TensorFlow函数：tf.logging.set\\_verbosity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nfws2wiq.html \"TensorFlow函数：tf.logging.set_verbosity\")\n          13. [TensorFlow函数：tf.logging.TaskLevelStatusMessage](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lwdp2wir.html \"TensorFlow函数：tf.logging.TaskLevelStatusMessage\")\n          14. [TensorFlow函数：tf.logging.vlog](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6vkl2wis.html \"TensorFlow函数：tf.logging.vlog\")\n          15. [TensorFlow函数：tf.logging.warn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n1wc2wit.html \"TensorFlow函数：tf.logging.warn\")\n          16. [TensorFlow函数：tf.logging.warning](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-217a2wiu.html \"TensorFlow函数：tf.logging.warning\")\n      16. [TensorFlow使用之tf.losses](\"TensorFlow使用之tf.losses\")\n          1. [TensorFlow模块：tf.losses](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2pms2wkq.html \"TensorFlow模块：tf.losses\")\n          2. [TensorFlow函数：tf.losses.absolute\\_difference](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q5rw2wkt.html \"TensorFlow函数：tf.losses.absolute_difference\")\n          3. [TensorFlow函数：tf.losses.add\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-emay2wmr.html \"TensorFlow函数：tf.losses.add_loss\")\n          4. [TensorFlow函数：tf.losses.compute\\_weighted\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rbjl2wms.html \"TensorFlow函数：tf.losses.compute_weighted_loss\")\n          5. [TensorFlow函数：tf.losses.cosine\\_distance](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wuh22wqk.html \"TensorFlow函数：tf.losses.cosine_distance\")\n          6. [TensorFlow函数：tf.losses.get\\_losses](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lvgw2wqn.html \"TensorFlow函数：tf.losses.get_losses\")\n          7. [TensorFlow函数：tf.losses.get\\_regularization\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lqif2wtw.html \"TensorFlow函数：tf.losses.get_regularization_loss\")\n          8. [TensorFlow函数：tf.losses.get\\_regularization\\_losses](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-knft2wtx.html \"TensorFlow函数：tf.losses.get_regularization_losses\")\n          9. [TensorFlow函数：tf.losses.get\\_total\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cz5s2wwd.html \"TensorFlow函数：tf.losses.get_total_loss\")\n          10. [TensorFlow函数：tf.losses.hinge\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tnbj2wyg.html \"TensorFlow函数：tf.losses.hinge_loss\")\n          11. [TensorFlow函数：tf.losses.huber\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2cbn2wyj.html \"TensorFlow函数：tf.losses.huber_loss\")\n          12. [TensorFlow函数：tf.losses.log\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-14tm2x16.html \"TensorFlow函数：tf.losses.log_loss\")\n          13. [TensorFlow函数：tf.losses.mean\\_pairwise\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f9u82x7n.html \"TensorFlow函数：tf.losses.mean_pairwise_squared_error\")\n          14. [TensorFlow函数：tf.losses.mean\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zkxr2x87.html \"TensorFlow函数：tf.losses.mean_squared_error\")\n          15. [TensorFlow函数：tf.losses.Reduction](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-klgu2xrk.html \"TensorFlow函数：tf.losses.Reduction\")\n          16. [TensorFlow函数：tf.losses.sigmoid\\_cross\\_entropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hdfb2xtv.html \"TensorFlow函数：tf.losses.sigmoid_cross_entropy\")\n          17. [TensorFlow函数：tf.losses.softmax\\_cross\\_entropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hrga2y89.html \"TensorFlow函数：tf.losses.softmax_cross_entropy\")\n          18. [TensorFlow函数：tf.losses.sparse\\_softmax\\_cross\\_entropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uh2n2y8b.html \"TensorFlow函数：tf.losses.sparse_softmax_cross_entropy\")\n      17. [TensorFlow使用之tf.math](\"TensorFlow使用之tf.math\")\n          1. [TensorFlow模块：tf.math](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aced2ycp.html \"TensorFlow模块：tf.math\")\n          2. [TensorFlow函数：tf.math.polyval](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7kh12yd1.html \"TensorFlow函数：tf.math.polyval\")\n      18. [TensorFlow使用之tf.metrics](\"TensorFlow使用之tf.metrics\")\n          1. [TensorFlow模块：tf.metrics](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ke8y2yhg.html \"TensorFlow模块：tf.metrics\")\n          2. [TensorFlow函数：tf.metrics.accuracy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7tus2yhp.html \"TensorFlow函数：tf.metrics.accuracy\")\n          3. [TensorFlow函数：tf.metrics.auc](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mct22yk9.html \"TensorFlow函数：tf.metrics.auc\")\n          4. [TensorFlow函数：tf.metrics.average\\_precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lajz2yop.html \"TensorFlow函数：tf.metrics.average_precision_at_k\")\n          5. [TensorFlow函数：tf.metrics.false\\_negatives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5xz62yrm.html \"TensorFlow函数：tf.metrics.false_negatives\")\n          6. [TensorFlow函数：tf.metrics.false\\_negatives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-68ez2yun.html \"TensorFlow函数：tf.metrics.false_negatives_at_thresholds\")\n          7. [TensorFlow函数：tf.metrics.false\\_positives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wi562yxa.html \"TensorFlow函数：tf.metrics.false_positives\")\n          8. [TensorFlow函数：tf.metrics.false\\_positives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o2d92z0l.html \"TensorFlow函数：tf.metrics.false_positives_at_thresholds\")\n          9. [TensorFlow函数：tf.metrics.mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rwlo2z1r.html \"TensorFlow函数：tf.metrics.mean\")\n          10. [TensorFlow函数：tf.metrics.mean\\_absolute\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-iftl2z24.html \"TensorFlow函数：tf.metrics.mean_absolute_error\")\n          11. [TensorFlow函数：tf.metrics.mean\\_cosine\\_distance](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1mu62z2a.html \"TensorFlow函数：tf.metrics.mean_cosine_distance\")\n          12. [TensorFlow函数：tf.metrics.mean\\_iou](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ujb12z2k.html \"TensorFlow函数：tf.metrics.mean_iou\")\n          13. [TensorFlow函数：tf.metrics.mean\\_per\\_class\\_accuracy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4dfk2z2p.html \"TensorFlow函数：tf.metrics.mean_per_class_accuracy\")\n          14. [TensorFlow函数：tf.metrics.mean\\_relative\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6zke2z31.html \"TensorFlow函数：tf.metrics.mean_relative_error\")\n          15. [TensorFlow函数：tf.metrics.mean\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9sfy2z32.html \"TensorFlow函数：tf.metrics.mean_squared_error\")\n          16. [TensorFlow函数：tf.metrics.mean\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-t5zg2z33.html \"TensorFlow函数：tf.metrics.mean_tensor\")\n          17. [TensorFlow函数：tf.metrics.percentage\\_below](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q6cj2z3y.html \"TensorFlow函数：tf.metrics.percentage_below\")\n          18. [TensorFlow函数：tf.metrics.precision](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pmdi2z4d.html \"TensorFlow函数：tf.metrics.precision\")\n          19. [TensorFlow函数：tf.metrics.precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fk9n2z4r.html \"TensorFlow函数：tf.metrics.precision_at_k\")\n          20. [TensorFlow函数：tf.metrics.precision\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4x6s2z4s.html \"TensorFlow函数：tf.metrics.precision_at_thresholds\")\n          21. [TensorFlow函数：tf.metrics.precision\\_at\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ovlp2z71.html \"TensorFlow函数：tf.metrics.precision_at_top_k\")\n          22. [TensorFlow函数：tf.metrics.recall](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7nev2z7u.html \"TensorFlow函数：tf.metrics.recall\")\n          23. [TensorFlow函数：tf.metrics.recall\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-k8fa2z7v.html \"TensorFlow函数：tf.metrics.recall_at_k\")\n          24. [TensorFlow函数：tf.metrics.recall\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kn9h2z85.html \"TensorFlow函数：tf.metrics.recall_at_thresholds\")\n          25. [TensorFlow函数：tf.metrics.recall\\_at\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-a8ur2z86.html \"TensorFlow函数：tf.metrics.recall_at_top_k\")\n          26. [TensorFlow函数：tf.metrics.root\\_mean\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-15ev2z8o.html \"TensorFlow函数：tf.metrics.root_mean_squared_error\")\n          27. [TensorFlow函数：tf.metrics.sensitivity\\_at\\_specificity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5t192z96.html \"TensorFlow函数：tf.metrics.sensitivity_at_specificity\")\n          28. [TensorFlow函数：tf.metrics.sparse\\_average\\_precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nu6d2z9f.html \"TensorFlow函数：tf.metrics.sparse_average_precision_at_k\")\n          29. [TensorFlow函数：tf.metrics.sparse\\_precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-r79f2z9h.html \"TensorFlow函数：tf.metrics.sparse_precision_at_k\")\n          30. [TensorFlow函数：tf.metrics.specificity\\_at\\_sensitivity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h3v12zap.html \"TensorFlow函数：tf.metrics.specificity_at_sensitivity\")\n          31. [TensorFlow函数：tf.metrics.true\\_negatives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p93f2zb0.html \"TensorFlow函数：tf.metrics.true_negatives\")\n          32. [TensorFlow函数：tf.metrics.true\\_negatives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-of6n2zdn.html \"TensorFlow函数：tf.metrics.true_negatives_at_thresholds\")\n          33. [TensorFlow函数：tf.metrics.true\\_positives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-547k2zdo.html \"TensorFlow函数：tf.metrics.true_positives\")\n          34. [TensorFlow函数：tf.metrics.true\\_positives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jefs2zfa.html \"TensorFlow函数：tf.metrics.true_positives_at_thresholds\")\n      19. [TensorFlow使用之tf.manip](\"TensorFlow使用之tf.manip\")\n          1. [TensorFlow模块：tf.manip](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ow42yal.html \"TensorFlow模块：tf.manip\")\n          2. [TensorFlow函数：tf.manip.roll](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2k8u2yam.html \"TensorFlow函数：tf.manip.roll\")\n      20. [TensorFlow使用之tf.nn](\"TensorFlow使用之tf.nn\")\n          1. [tf.nn概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fjqh2zgc.html \"TensorFlow模块：tf.nn\")\n          2. [all\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1wu62zh8.html \"TensorFlow函数：tf.nn.all_candidate_sampler\")\n          3. [atrous\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_atrous_conv2d.html \"TensorFlow函数：tf.nn.atrous_conv2d\")\n          4. [atrous\\_conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_atrous_conv2d_transpose.html \"TensorFlow函数：tf.nn.atrous_conv2d_transpose\")\n          5. [avg\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_avg_pool.html \"TensorFlow函数：tf.nn.avg_pool\")\n          6. [avg\\_pool3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_avg_pool3d.html \"TensorFlow函数：tf.nn.avg_pool3d\")\n          7. [batch\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_batch_normalization.html \"TensorFlow函数：tf.nn.batch_normalization\")\n          8. [batch\\_norm\\_with\\_global\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_batch_norm_with_global_normalization.html \"TensorFlow函数：tf.nn.batch_norm_with_global_normalization\")\n          9. [bias\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_bias_add.html \"TensorFlow函数：tf.nn.bias_add\")\n          10. [bidirectional\\_dynamic\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_bidirectional_dynamic_rnn.html \"TensorFlow函数：tf.nn.bidirectional_dynamic_rnn\")\n          11. [compute\\_accidental\\_hits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_compute_accidental_hits.html \"TensorFlow函数：tf.nn.compute_accidental_hits\")\n          12. [conv1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv1d.html \"TensorFlow函数：tf.nn.conv1d\")\n          13. [conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d.html \"TensorFlow函数：tf.nn.conv2d\")\n          14. [conv2d\\_backprop\\_filter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d_backprop_filter.html \"TensorFlow函数：tf.nn.conv2d_backprop_filter\")\n          15. [conv2d\\_backprop\\_input](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d_backprop_input.html \"TensorFlow函数：tf.nn.conv2d_backprop_input\")\n          16. [conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d_transpose.html \"TensorFlow函数：tf.nn.conv2d_transpose\")\n          17. [conv3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv3d.html \"TensorFlow函数教程：tf.nn.conv3d\")\n          18. [conv3d\\_backprop\\_filter\\_v2](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv3d_backprop_filter_v2.html \"TensorFlow函数教程：tf.nn.conv3d_backprop_filter_v2\")\n          19. [conv3d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv3d_transpose.html \"TensorFlow函数教程：tf.nn.conv3d_transpose\")\n          20. [convolution](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_convolution.html \"TensorFlow函数教程：tf.nn.convolution\")\n          21. [crelu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_crelu.html \"TensorFlow函数教程：tf.nn.crelu\")\n          22. [ctc\\_beam\\_search\\_decoder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_ctc_beam_search_decoder.html \"TensorFlow函数教程：tf.nn.ctc_beam_search_decoder\")\n          23. [ctc\\_greedy\\_decoder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_ctc_greedy_decoder.html \"TensorFlow函数教程：tf.nn.ctc_greedy_decoder\")\n          24. [ctc\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_ctc_loss.html \"TensorFlow函数教程：tf.nn.ctc_loss\")\n          25. [depthwise\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d\")\n          26. [depthwise\\_conv2d\\_native](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d_native.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d_native\")\n          27. [depthwise\\_conv2d\\_native\\_backprop\\_filter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d_native_backprop_filter.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_filter\")\n          28. [depthwise\\_conv2d\\_native\\_backprop\\_input](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d_native_backprop_input.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_input\")\n          29. [dilation2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_dilation2d.html \"TensorFlow函数教程：tf.nn.dilation2d\")\n          30. [dropout](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_dropout.html \"TensorFlow函数教程：tf.nn.dropout\")\n          31. [dynamic\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_dynamic_rnn.html \"TensorFlow函数教程：tf.nn.dynamic_rnn\")\n          32. [elu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_elu.html \"TensorFlow函数教程：tf.nn.elu\")\n          33. [embedding\\_lookup](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_embedding_lookup.html \"TensorFlow函数教程：tf.nn.embedding_lookup\")\n          34. [embedding\\_lookup\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_embedding_lookup_sparse.html \"TensorFlow函数教程：tf.nn.embedding_lookup_sparse\")\n          35. [erosion2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_erosion2d.html \"TensorFlow函数教程：tf.nn.erosion2d\")\n          36. [fixed\\_unigram\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fixed_unigram_candidate_sampler.html \"TensorFlow函数教程：tf.nn.fixed_unigram_candidate_sampler\")\n          37. [fractional\\_avg\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fractional_avg_pool.html \"TensorFlow函数教程：tf.nn.fractional_avg_pool\")\n          38. [fractional\\_max\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fractional_max_pool.html \"TensorFlow函数教程： tf.nn.fractional_max_pool\")\n          39. [fused\\_batch\\_norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fused_batch_norm.html \"TensorFlow函数教程：tf.nn.fused_batch_norm\")\n          40. [in\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_in_top_k.html \"TensorFlow函数教程：tf.nn.in_top_k\")\n          41. [l2\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_l2_loss.html \"TensorFlow函数教程：tf.nn.l2_loss\")\n          42. [l2\\_normalize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_l2_normalize.html \"TensorFlow函数教程：tf.nn.l2_normalize\")\n          43. [leaky\\_relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_leaky_relu.html \"TensorFlow函数教程：tf.nn.leaky_relu\")\n          44. [learned\\_unigram\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_learned_unigram_candidate_sampler.html \"TensorFlow函数教程：tf.nn.learned_unigram_candidate_sampler\")\n          45. [local\\_response\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_local_response_normalization.html \"TensorFlow函数教程：tf.nn.local_response_normalization\")\n          46. [log\\_poisson\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_log_poisson_loss.html \"TensorFlow函数教程：tf.nn.log_poisson_loss\")\n          47. [log\\_softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_log_softmax.html \"TensorFlow函数教程：tf.nn.log_softmax\")\n          48. [log\\_uniform\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_log_uniform_candidate_sampler.html \"TensorFlow函数教程：tf.nn.log_uniform_candidate_sampler\")\n          49. [max\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_max_pool.html \"TensorFlow函数教程：tf.nn.max_pool\")\n          50. [max\\_pool3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_max_pool3d.html \"TensorFlow函数教程：tf.nn.max_pool3d\")\n          51. [max\\_pool\\_with\\_argmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_max_pool_with_argmax.html \"TensorFlow函数教程：tf.nn.max_pool_with_argmax\")\n          52. [moments](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_moments.html \"TensorFlow函数教程：tf.nn.moments\")\n          53. [nce\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_nce_loss.html \"TensorFlow函数教程：tf.nn.nce_loss\")\n          54. [normalize\\_moments](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_normalize_moments.html \"TensorFlow函数教程：tf.nn.normalize_moments\")\n          55. [pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_pool.html \"TensorFlow函数教程：tf.nn.pool\")\n          56. [quantized\\_avg\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_avg_pool.html \"TensorFlow函数教程：tf.nn.quantized_avg_pool\")\n          57. [quantized\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_conv2d.html \"TensorFlow函数教程：tf.nn.quantized_conv2d\")\n          58. [quantized\\_max\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_max_pool.html \"TensorFlow函数教程：tf.nn.quantized_max_pool\")\n          59. [quantized\\_relu\\_x](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_relu_x.html \"TensorFlow函数教程：tf.nn.quantized_relu_x\")\n          60. [relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_relu.html \"TensorFlow函数教程：tf.nn.relu\")\n          61. [relu6](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_relu6.html \"TensorFlow函数教程：tf.nn.relu6\")\n          62. [relu\\_layer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l7i3300n.html \"TensorFlow函数教程：tf.nn.relu_layer\")\n          63. [selu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_selu.html \"TensorFlow函数教程：tf.nn.selu\")\n          64. [separable\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_separable_conv2d.html \"TensorFlow函数教程：tf.nn.separable_conv2d\")\n          65. [sigmoid\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_sigmoid_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.sigmoid_cross_entropy_with_logits\")\n          66. [softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softmax.html \"TensorFlow函数教程：tf.nn.softmax\")\n          67. [softmax\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softmax_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits\")\n          68. [softmax\\_cross\\_entropy\\_with\\_logits\\_v2](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softmax_cross_entropy_with_logits_v2.html \"TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits_v2\")\n          69. [softsign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softsign.html \"TensorFlow函数教程：tf.nn.softsign\")\n          70. [space\\_to\\_batch](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_space_to_batch.html \"TensorFlow函数教程：tf.nn.space_to_batch\")\n          71. [space\\_to\\_depth](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_space_to_depth.html \"TensorFlow函数教程：tf.nn.space_to_depth\")\n          72. [sparse\\_softmax\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_sparse_softmax_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.sparse_softmax_cross_entropy_with_logits\")\n          73. [static\\_bidirectional\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_static_bidirectional_rnn.html \"TensorFlow函数教程：tf.nn.static_bidirectional_rnn\")\n          74. [static\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_static_rnn.html \"TensorFlow函数教程：tf.nn.static_rnn\")\n          75. [static\\_state\\_saving\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_static_state_saving_rnn.html \"TensorFlow函数教程：tf.nn.static_state_saving_rnn\")\n          76. [sufficient\\_statistics](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_sufficient_statistics.html \"TensorFlow函数教程：tf.nn.sufficient_statistics\")\n          77. [weighted\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_weighted_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.weighted_cross_entropy_with_logits\")\n          78. [weighted\\_moments](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_weighted_moments.html \"TensorFlow函数教程：tf.nn.weighted_moments\")\n          79. [with\\_space\\_to\\_batch](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-di2j3038.html \"TensorFlow函数教程：tf.nn.with_space_to_batch\")\n          80. [xw\\_plus\\_b](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_xw_plus_b.html \"TensorFlow函数教程：tf.nn.xw_plus_b\")\n      21. [TensorFlow使用之tf.profiler](\"TensorFlow使用之tf.profiler\")\n          1. [tf.profiler概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler.html \"tf.profiler概览\")\n          2. [AdviceProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_AdviceProto.html \"TensorFlow函数教程：tf.profiler.AdviceProto\")\n          3. [AdviceProto.Checker](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_AdviceProto_Checker.html \"TensorFlow函数教程：tf.profiler.AdviceProto.Checker\")\n          4. [AdviceProto.CheckersEntry](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_AdviceProto_CheckersEntry.html \"TensorFlow函数教程：tf.profiler.AdviceProto.CheckersEntry\")\n          5. [advise](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_advise.html \"TensorFlow函数教程：tf.profiler.advise\")\n          6. [GraphNodeProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_GraphNodeProto.html \"TensorFlow函数教程：tf.profiler.GraphNodeProto\")\n          7. [GraphNodeProto.InputShapesEntry](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_GraphNodeProto_InputShapesEntry.html \"TensorFlow函数教程：tf.profiler.GraphNodeProto.InputShapesEntry\")\n          8. [MultiGraphNodeProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_MultiGraphNodeProto.html \"TensorFlow函数教程：tf.profiler.MultiGraphNodeProto\")\n          9. [OpLogProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_OpLogProto.html \"TensorFlow函数教程：tf.profiler.OpLogProto\")\n          10. [OpLogProto.IdToStringEntry](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_OpLogProto_IdToStringEntry.html \"TensorFlow函数教程：tf.profiler.OpLogProto.IdToStringEntry\")\n          11. [profile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_profile.html \"TensorFlow函数教程：tf.profiler.profile\")\n          12. [ProfileOptionBuilder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_ProfileOptionBuilder.html \"TensorFlow函数教程：tf.profiler.ProfileOptionBuilder\")\n          13. [Profiler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_Profiler.html \"TensorFlow函数教程：tf.profiler.Profiler\")\n          14. [write\\_op\\_log](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_write_op_log.html \"TensorFlow函数教程：tf.profiler.write_op_log\")\n      22. [TensorFlow使用之tf.python\\_io](\"TensorFlow使用之tf.python_io\")\n          1. [tf.python\\_io概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_python_io.html \"tf.python_io概览\")\n      23. [TensorFlow使用之tf.queue](\"TensorFlow使用之tf.queue\")\n          1. [PriorityQueue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_queue_PriorityQueue.html \"TensorFlow函数教程：tf.queue.PriorityQueue\")\n          2. [QueueBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_queue_QueueBase.html \"TensorFlow函数教程：tf.queue.QueueBase\")\n   2. [如何导出estimator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dp7q2dsj.html \"如何导出estimator\")\n      1. [TensorFlow解析Example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z75l2dsm.html \"TensorFlow解析Example\")\n      2. [TensorFlow分类头的输出设置](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fcra2dsr.html \"TensorFlow分类头的输出设置\")\n   3. [TensorFlow使用之tf.lite](\"TensorFlow使用之tf.lite\")\n      1. [tf.lite概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite.html \"TensorFlow模块：tf.lite\")\n      2. [Interpreter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_Interpreter.html \"TensorFlow函数教程：tf.lite.Interpreter\")\n      3. [OpHint](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_OpHint.html \"TensorFlow函数教程：tf.lite.OpHint\")\n      4. [OpHintArgumentTracker](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_OpHint_OpHintArgumentTracker.html \"TensorFlow函数教程：tf.lite.OpHint.OpHintArgumentTracker\")\n      5. [OpsSet](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_OpsSet.html \"TensorFlow函数教程：tf.lite.OpsSet\")\n      6. [TFLiteConverter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_TFLiteConverter.html \"TensorFlow函数教程：tf.lite.TFLiteConverter\")\n      7. [TocoConverter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_TocoConverter.html \"TensorFlow函数教程：tf.lite.TocoConverter\")\n      8. [toco\\_convert](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_toco_convert.html \"TensorFlow函数教程：tf.lite.toco_convert\")\n4. [TensorFlow 功能函数](\"TensorFlow 功能函数\")\n   1. [TensorFlow 计算张量的绝对值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u5a128yk.html \"TensorFlow 计算张量的绝对值\")\n   2. [TensorFlow 返回张量列表的元素和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hsfk2c80.html \"TensorFlow 返回张量列表的元素和\")\n   3. [TensorFlow 计算张量元素的 acos](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n6872c84.html \"TensorFlow 计算张量元素的 acos\")\n   4. [TensorFlow 计算张量的和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rgow2c85.html \"TensorFlow 计算张量的和\")\n   5. [TensorFlow check\\_numerics操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e1ou2c86.html \"TensorFlow  check_numerics操作\")\n   6. [TensorFlow 添加张量元素](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i6t32c87.html \"TensorFlow 添加张量元素\")\n   7. [TensorFlow 包装Graph.add\\_to](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g6s42c89.html \"TensorFlow 包装Graph.add_to\")\n   8. [TensorFlow 梯度组合](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w8a92c8a.html \"TensorFlow 梯度组合\")\n   9. [TensorFlow 返回张量的最大值索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lbm22c8b.html \"TensorFlow 返回张量的最大值索引\")\n   10. [TensorFlow 返回张量的最小值索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yzgj2c8d.html \"TensorFlow 返回张量的最小值索引\")\n   11. [TensorFlow 返回张量维度上最大值的索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ao4e2c8e.html \"TensorFlow 返回张量维度上最大值的索引\")\n   12. [TensorFlow 返回张量维度上最小值的索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tdjh2c8g.html \"TensorFlow 返回张量维度上最小值的索引\")\n   13. [TensorFlow 计算asin中的元素](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c6y32c8h.html \"TensorFlow 计算asin中的元素\")\n   14. [TensorFlow中Assert相关函数说明](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-69le2c8i.html \"TensorFlow中Assert相关函数说明\")\n   15. [TensorFlow中assign函数说明](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b4x72chd.html \"TensorFlow中assign函数说明\")\n   16. [TensorFlow 将给定的 type\\_value 转换为 DType](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p61j2ckb.html \"TensorFlow 将给定的 type_value 转换为 DType\")\n   17. [TensorFlow 将给定张量的条目转换为字符串](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mv3p2ckd.html \"TensorFlow 将给定张量的条目转换为字符串\")\n   18. [TensorFlow 计算元素的反正切](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4fnz2ckf.html \"TensorFlow 计算元素的反正切\")\n   19. [TensorFlow AttrValue类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4sdh2ckk.html \"TensorFlow AttrValue类\")\n   20. [TensorFlow BatchToSpace的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bnyg2ckl.html \"TensorFlow BatchToSpace的使用\")\n   21. [TensorFlow 计算正则化的不完全beta积分](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7v1x2cmg.html \"TensorFlow 计算正则化的不完全beta积分\")\n   22. [TensorFlow 计算整数数组值出现的次数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-peiz2cmo.html \"TensorFlow 计算整数数组值出现的次数\")\n   23. [TensorFlow 张量类型转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2t7u2cmq.html \"TensorFlow 张量类型转换\")\n   24. [TensorFlow 在张量上应用布尔掩码](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nvek2cmu.html \"TensorFlow 在张量上应用布尔掩码\")\n   25. [TensorFlow 返回广播形状](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ucpd2cnc.html \"TensorFlow 返回广播形状\")\n   26. [TensorFlow 创建case](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8wgl2co7.html \"TensorFlow 创建case\")\n   27. [TensorFlow 张量投射](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zfsn2coc.html \"TensorFlow 张量投射\")\n   28. [TensorFlow 使用ceil返回不下于x的最小整数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bqr32cto.html \"使用ceil返回不下于x的最小整数\")\n   29. [TensorFlow 检查NaN和Inf值的张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dz6u2ctp.html \"TensorFlow检查NaN和Inf值的张量\")\n   30. [TensorFlow计算方阵的Cholesky分解](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o8592cut.html \"TensorFlow计算方阵的Cholesky分解\")\n   31. [将TensorFlow张量值剪辑到最大平均L2-norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5onx2cuu.html \"将TensorFlow张量值剪辑到最大平均L2-norm\")\n   32. [TensorFlow通过规范总和的比例剪切张量的值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1dmp2cx7.html \"TensorFlow通过规范总和的比例剪切张量的值\")\n   33. [TensorFlow 将张量值剪辑到最大 L2-norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jy7l2cx8.html \"将TensorFlow张量值剪辑到最大 L2-norm\")\n   34. [TensorFlow 将张量剪辑为指定的最大值和最小值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hz2c2cxb.html \"剪辑TensorFlow张量为指定的最大值和最小值\")\n   35. [TensorFlow 将实数转换为复数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h6tb2cxc.html \"如何将TensorFlow的实数转换为复数\")\n   36. [TensorFlow 将张量沿一个维度串联](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-euxa2cz7.html \"将TensorFlow张量沿一个维度串联\")\n   37. [TensorFlow tf.cond函数的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w47x2cz8.html \"tf.cond函数的使用\")\n   38. [TensorFlow聚合梯度的条件累加器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p5h32czb.html \"TensorFlow聚合梯度的条件累加器\")\n   39. [如何使用ConditionalAccumulatorBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-586o2d2v.html \"如何使用ConditionalAccumulatorBase\")\n   40. [TensorFlow如何计算混淆矩阵](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d4p62d2x.html \"TensorFlow如何计算混淆矩阵\")\n   41. [如何使用conj](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e2812d2z.html \"如何使用conj\")\n   42. [在TensorFlow中使用constant函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jabh2d30.html \"在TensorFlow中使用constant函数\")\n   43. [TensorFlow使用初始化器生成具有常量值的张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vy2d2d4r.html \"TensorFlow使用初始化器生成具有常量值的张量\")\n   44. [container的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1hza2d4v.html \"container的使用\")\n   45. [control\\_dependencies的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bguz2d73.html \"control_dependencies的使用\")\n   46. [TensorFlow将给定值转换为张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g2tw2d76.html \"TensorFlow将给定值转换为张量\")\n   47. [TensorFlow将给定的对象转换为张量或IndexedSlices](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c6r72d77.html \"TensorFlow将给定的对象转换为张量或IndexedSlices\")\n   48. [TensorFlow将值转换为SparseTensor或张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wl1v2d78.html \"TensorFlow将值转换为SparseTensor或张量\")\n   49. [计算TensorFlow元素的cos值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ogbm2ddb.html \"计算TensorFlow元素的cos值\")\n   50. [TensorFlow元素的双曲余弦](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cl572ddc.html \"TensorFlow元素的双曲余弦\")\n   51. [计算TensorFlow中非零元素的个数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tr5s2ddf.html \"计算TensorFlow中非零元素的个数\")\n   52. [TensorFlow对ref进行递增](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4bps2ddg.html \"TensorFlow对ref进行递增\")\n   53. [TensorFlow怎么创建分区变量列表](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kigf2ddh.html \"TensorFlow怎么创建分区变量列表\")\n   54. [计算张量沿轴的累积积](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ug6f2df4.html \"计算张量沿轴的累积积\")\n   55. [TensorFlow张量的累积和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4pkj2dhm.html \"TensorFlow张量的累积和\")\n   56. [TensorFlow字符串解码](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aod42dhp.html \"TensorFlow字符串解码\")\n   57. [TensorFlow CSV转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9lc22dhr.html \"TensorFlow CSV转换\")\n   58. [JSON编码的示例记录转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ipov2dj7.html \"JSON编码的示例记录转换\")\n   59. [TensorFlow将raw格式转换为张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sw7v2dj8.html \"TensorFlow将raw格式转换为张量\")\n   60. [TensorFlow数据从深度排列为空间数据块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lrb62djd.html \"TensorFlow数据从深度排列为空间数据块\")\n   61. [反量化TensorFlow张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hgen2dje.html \"反量化TensorFlow张量\")\n   62. [TensorFlow设备规范](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nlfw2du0.html \"TensorFlow设备规范\")\n   63. [使用diag返回对角张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c3e22du4.html \"使用diag返回对角张量\")\n   64. [TensorFlow如何返回对角线](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vr4o2dxa.html \"TensorFlow如何返回对角线\")\n   65. [TensorFlow除法运算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yxij2dxd.html \"TensorFlow除法运算\")\n   66. [使用Dimension类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-odpm2dxe.html \"使用Dimension类\")\n   67. [TensorFlow张量的元素类型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d6x22e0f.html \"TensorFlow张量的元素类型\")\n   68. [TensorFlow分区索引的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l84d2e19.html \"TensorFlow分区索引的使用\")\n   69. [如何插入TensorFlow数据张量的值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tcwk2e3z.html \"如何插入TensorFlow数据张量的值\")\n   70. [计算TensorFlow序列之间的编辑距离](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ovtr2e43.html \"计算TensorFlow序列之间的编辑距离\")\n   71. [TensorFlow如何实现张量收缩](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qszk2e44.html \"TensorFlow如何实现张量收缩\")\n   72. [TensorFlow实现字符串编码](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ux292e7n.html \"TensorFlow实现字符串编码\")\n   73. [TensorFlow怎么使用equal函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gwj82e7u.html \"怎么使用equal函数\")\n   74. [TensorFlow误差函数计算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-k52n2e7y.html \"TensorFlow误差函数计算\")\n   75. [计算TensorFlow元素的指数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fewr2e80.html \"计算TensorFlow元素的指数\")\n   76. [如何在TensorFlow张量形状中插入维度](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-x5ic2ecp.html \"如何在TensorFlow张量形状中插入维度\")\n   77. [构造TensorFlow的单位矩阵](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gt7i2ed3.html \"构造TensorFlow的单位矩阵\")\n   78. [怎么对TensorFlow进行假量化](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-iw8n2ei2.html \"怎么对TensorFlow进行假量化\")\n   79. [TensorFlow快速傅里叶变换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n1j32ei4.html \"TensorFlow快速傅里叶变换\")\n   80. [利用标量值填充TensorFlow张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-onqp2ei6.html \"利用标量值填充TensorFlow张量\")\n   81. [TensorFlow怎么解析固定长度输入功能](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-85v32emy.html \"TensorFlow怎么解析固定长度输入功能\")\n   82. [TensorFlow从文件中输出记录的读取器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sp792epm.html \"TensorFlow从文件中输出记录的读取器\")\n   83. [如何将TensorFlow输入特征解析为张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pmju2epv.html \"如何将TensorFlow输入特征解析为张量\")\n   84. [如何使用TensorFlow的floor函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-67vg2epy.html \"如何使用TensorFlow的floor函数\")\n   85. [TensorFlow函数：tf.floormod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-raf72erk.html \"TensorFlow函数：tf.floormod\")\n   86. [TensorFlow高阶函数：tf.foldl](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jza52erm.html \"TensorFlow高阶函数：tf.foldl\")\n   87. [TensorFlow张量变换函数：tf.gather](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w3uo2err.html \"TensorFlow张量变换函数：tf.gather\")\n   88. [TensorFlow函数：tf.gather\\_nd](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ctv72eru.html \"TensorFlow函数：tf.gather_nd\")\n   89. [TensorFlow函数：get\\_collection](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zn8e2euz.html \"TensorFlow函数：get_collection\")\n   90. [default函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7fyk2ev2.html \"default函数\")\n   91. [TensorFlow函数：get\\_session\\_handle](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cso52ev7.html \"TensorFlow函数：get_session_handle\")\n   92. [TensorFlow变量函数：tf.get\\_local\\_variable](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fe2i2ev9.html \"TensorFlow变量函数：tf.get_local_variable\")\n   93. [tf.get\\_variable函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-st6f2ez1.html \"tf.get_variable函数\")\n   94. [TensorFlow全局函数：tf.global\\_norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-x42t2ez2.html \"TensorFlow全局函数：tf.global_norm\")\n   95. [使用global\\_variables获取全局变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4isv2ez3.html \"使用global_variables获取全局变量\")\n   96. [TensorFlow初始化器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sbv42ez5.html \"TensorFlow初始化器\")\n   97. [TensorFlow梯度计算：tf.gradients](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kbev2ezc.html \"TensorFlow梯度计算：tf.gradients\")\n   98. [tf.GraphKeys函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ne7t2ezd.html \"tf.GraphKeys函数\")\n   99. [TensorFlow比较函数：tf.greater](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-neuv2f1k.html \"TensorFlow比较函数：tf.greater\")\n   100. [TensorFlow流程控制函数：tf.group](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mgxu2f1p.html \"TensorFlow流程控制函数：tf.group\")\n   101. [Hessian函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ugsi2f1r.html \"Hessian函数\")\n   102. [TensorFlow逆向快速傅里叶变换函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c91g2f1t.html \"TensorFlow逆向快速傅里叶变换函数\")\n   103. [Gamma函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l45v2f1w.html \"Gamma函数\")\n   104. [TensorFlow复数函数：tf.imag](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uzgw2f1x.html \"TensorFlow复数函数：tf.imag\")\n   105. [TensorFlow图形处理函数：tf.import\\_graph\\_def](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vhtj2f4p.html \"TensorFlow图形处理函数：tf.import_graph_def\")\n   106. [TensorFlow函数：IndexedSlices](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d9li2f4s.html \"TensorFlow函数：IndexedSlices\")\n   107. [tf.invert\\_permutation：张量的逆置换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o6fn2f4t.html \"tf.invert_permutation：张量的逆置换\")\n   108. [TensorFlow使用isnan函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8rnb2f4u.html \"TensorFlow使用isnan函数\")\n   109. [TensorFlow数学函数：tf.lbeta](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i4p52f4v.html \"TensorFlow数学函数：tf.lbeta\")\n   110. [TensorFlow函数：tf.less](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fw182f4x.html \"TensorFlow函数：tf.less\")\n   111. [TensorFlow函数：tf.lin\\_space](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bdpa2f7u.html \"TensorFlow函数：tf.lin_space\")\n   112. [LMDB文件读取器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kpqi2f7v.html \"LMDB文件读取器\")\n   113. [加载TensorFlow插件的函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u5hr2f85.html \"加载TensorFlow插件的函数\")\n   114. [TensorFlow局部变量：tf.local\\_variables](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-r2qh2f8a.html \"TensorFlow局部变量：tf.local_variables\")\n   115. [tf.log：计算TensorFlow的自然对数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mesu2f8d.html \"tf.log：计算TensorFlow的自然对数\")\n   116. [TensorFlow函数：logical](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sypo2fa0.html \"TensorFlow函数：logical\")\n   117. [TensorFlow变量函数：tf.make\\_template](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yt182fa1.html \"TensorFlow变量函数：tf.make_template\")\n   118. [创建TensorProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fxrl2fa6.html \"创建TensorProto\")\n   119. [TensorFlow：tf.map\\_fn函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ibqv2fdw.html \"TensorFlow：tf.map_fn函数\")\n   120. [TensorFlow：tf.matching\\_files函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-v1x52fee.html \"TensorFlow：tf.matching_files函数\")\n   121. [TensorFlow：tf.matmul函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l5x72feg.html \"TensorFlow：tf.matmul函数\")\n   122. [TensorFlow矩阵数学函数：tf.matrix\\_band\\_part](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lyqv2fgm.html \"TensorFlow矩阵数学函数：tf.matrix_band_part\")\n   123. [TensorFlow计算方阵行列式的函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vbhn2fgo.html \"TensorFlow计算方阵行列式的函数\")\n   124. [TensorFlow：tf.matrix\\_diag函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-htmy2fgq.html \"TensorFlow：tf.matrix_diag函数\")\n   125. [TensorFlow：tf.matrix\\_inverse函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-39tu2fgu.html \"TensorFlow：tf.matrix_inverse函数\")\n   126. [TensorFlow函数：tf.matrix\\_set\\_diag](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uqdo2fit.html \"TensorFlow函数：tf.matrix_set_diag\")\n   127. [TensorFlow函数：tf.matrix\\_solve](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8q9l2fiw.html \"TensorFlow函数：tf.matrix_solve\")\n   128. [TensorFlow函数：tf.matrix\\_solve\\_ls](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wkzd2fiy.html \"TensorFlow函数：tf.matrix_solve_ls\")\n   129. [TensorFlow函数：tf.matrix\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cqaz2fj2.html \"TensorFlow函数：tf.matrix_transpose\")\n   130. [TensorFlow函数：tf.matrix\\_triangular\\_solve](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d62a2fk5.html \"TensorFlow函数：tf.matrix_triangular_solve\")\n   131. [TensorFlow数学函数：tf.maximum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z6y42fk6.html \"TensorFlow数学函数：tf.maximum\")\n   132. [TensorFlow张量变换：tf.meshgrid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-a4xe2fk7.html \"TensorFlow张量变换：tf.meshgrid\")\n   133. [TensorFlow数学函数：tf.minimum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3f4v2fk9.html \"TensorFlow数学函数：tf.minimum\")\n   134. [TensorFlow变量：tf.min\\_max\\_variable\\_partitioner](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yh7i2fkd.html \"TensorFlow变量：tf.min_max_variable_partitioner\")\n   135. [multinomial函数：从多项式分布中抽取样本](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l5d12fln.html \"multinomial函数：从多项式分布中抽取样本\")\n   136. [TensorFlow构建图形：tf.name\\_scope函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ydnb2flr.html \"TensorFlow构建图形：tf.name_scope函数\")\n   137. [TensorFlow函数：tf.negative](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1ink2flu.html \"TensorFlow函数：tf.negative\")\n   138. [TensorFlow范数：tf.norm函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-alxk2fqe.html \"TensorFlow范数：tf.norm函数\")\n   139. [TensorFlow比较运算符：tf.not\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h6852fqf.html \"TensorFlow比较运算符：tf.not_equal\")\n   140. [TensorFlow函数：tf.ones](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uyfn2fqi.html \"TensorFlow函数：tf.ones\")\n   141. [TensorFlow函数：tf.ones\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5brh2fsk.html \"TensorFlow函数：tf.ones_initializer\")\n   142. [TensorFlow函数：tf.ones\\_like](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wy5d2fsl.html \"TensorFlow函数：tf.ones_like\")\n   143. [tf.one\\_hot函数：返回one-hot张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fh1b2fsm.html \"tf.one_hot函数：返回one-hot张量\")\n   144. [TensorFlow函数：tf.OpError](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jnqa2ftu.html \"TensorFlow函数：tf.OpError\")\n   145. [tf.orthogonal\\_initializer函数：正交矩阵的初始化器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2t9p2ftv.html \"tf.orthogonal_initializer函数：正交矩阵的初始化器\")\n   146. [TensorFlow填充张量函数：tf.pad](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gkxf2fty.html \"TensorFlow填充张量函数：tf.pad\")\n   147. [TensorFlow函数：tf.parallel\\_stack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zdwj2fu1.html \"TensorFlow函数：tf.parallel_stack\")\n   148. [解析Example原型：tf.parse\\_single\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5nrv2fwa.html \"解析Example原型：tf.parse_single_example\")\n   149. [TensorFlow占位符：tf.placeholder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w7yt2fwc.html \"TensorFlow占位符：tf.placeholder\")\n   150. [TensorFlow函数：tf.parse\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-y2fl2fyo.html \"TensorFlow函数：tf.parse_example\")\n   151. [TensorFlow函数：解析SequenceExample原型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nfqr2fz3.html \"TensorFlow函数：解析SequenceExample原型\")\n   152. [TensorFlow占位符操作：tf.placeholder\\_with\\_default](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fzkm2g13.html \"TensorFlow占位符操作：tf.placeholder_with_default\")\n   153. [TensorFlow幂值计算函数：tf.pow](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5kb92g14.html \"TensorFlow幂值计算函数：tf.pow\")\n   154. [tf.Print函数：打印张量列表](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sfcv2g3o.html \"tf.Print函数：打印张量列表\")\n   155. [包装用于TensorFlow操作的Python函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7eil2g75.html \"包装用于TensorFlow操作的Python函数\")\n   156. [tf.qr函数：计算矩阵的QR分解](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2urq2g9d.html \"tf.qr函数：计算矩阵的QR分解\")\n   157. [TensorFlow函数：tf.quantized\\_concat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l3x62gas.html \"TensorFlow函数：tf.quantized_concat\")\n   158. [TensorFlow张量变换函数：tf.quantize\\_v2](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ydjo2gcv.html \"TensorFlow张量变换函数：tf.quantize_v2\")\n   159. [TensorFlow函数：tf.random\\_crop](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gojy2gfp.html \"TensorFlow函数：tf.random_crop\")\n   160. [TensorFlow队列函数：tf.QueueBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1lme2ghb.html \"TensorFlow队列函数：tf.QueueBase\")\n   161. [TensorFlow函数：tf.random\\_gamma](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qsft2gjv.html \"TensorFlow函数：tf.random_gamma\")\n   162. [TensorFlow随机值：tf.random\\_normal函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n7hl2gmf.html \"TensorFlow随机值：tf.random_normal函数\")\n   163. [tf.random\\_normal\\_initializer：TensorFlow初始化器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b8jq2gqh.html \"tf.random_normal_initializer：TensorFlow初始化器\")\n   164. [TensorFlow函数：tf.random\\_poisson](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s2ia2gsz.html \"TensorFlow函数：tf.random_poisson\")\n   165. [TensorFlow函数：tf.random\\_shuffle](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-erti2gv6.html \"TensorFlow函数：tf.random_shuffle\")\n   166. [TensorFlow随机值函数：tf.random\\_uniform](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rnix2gv7.html \"TensorFlow随机值函数：tf.random_uniform\")\n   167. [TensorFlow函数：tf.random\\_uniform\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f1np2gyt.html \"TensorFlow函数：tf.random_uniform_initializer\")\n   168. [tf.range函数：创建数字序列](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5taw2h1h.html \"tf.range函数：创建数字序列\")\n   169. [tf.rank函数：返回TensorFlow张量的秩](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lani2h2z.html \"tf.rank函数：返回TensorFlow张量的秩\")\n   170. [TensorFlow读取器基类：tf.ReaderBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q1pg2h6e.html \"TensorFlow读取器基类：tf.ReaderBase\")\n   171. [TensorFlow函数：tf.real](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5mzj2h9x.html \"TensorFlow函数：tf.real\")\n   172. [tf.realdiv函数：x\/y元素的实数类型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fi9u2hcl.html \"tf.realdiv函数：x\/y元素的实数类型\")\n   173. [用于计算倒数的tf.reciprocal函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wdxc2hem.html \"用于计算倒数的tf.reciprocal函数\")\n   174. [tf.reduce\\_all函数：计算张量在维度上的逻辑和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4ihe2hen.html \"tf.reduce_all函数：计算张量在维度上的逻辑和\")\n   175. [TensorFlow函数：tf.reduce\\_any](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d2y32hgr.html \"TensorFlow函数：tf.reduce_any\")\n   176. [tf.reduce\\_join函数：添加字符串张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zku82hj1.html \"tf.reduce_join函数：添加字符串张量\")\n   177. [TensorFlow函数：tf.reduce\\_logsumexp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lfkd2hog.html \"TensorFlow函数：tf.reduce_logsumexp\")\n   178. [TensorFlow函数：tf.reduce\\_max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wvzy2hqq.html \"TensorFlow函数：tf.reduce_max\")\n   179. [TensorFlow函数：tf.reduce\\_mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hckq2htb.html \"TensorFlow函数：tf.reduce_mean\")\n   180. [TensorFlow函数：tf.reduce\\_min](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-m6e72huz.html \"TensorFlow函数：tf.reduce_min\")\n   181. [TensorFlow函数：tf.reduce\\_prod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jsl62hyf.html \"TensorFlow函数：tf.reduce_prod\")\n   182. [TensorFlow函数：tf.reduce\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5y4d2i2n.html \"TensorFlow函数：tf.reduce_sum\")\n   183. [TensorFlow函数：tf.RegisterGradient](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zet32i4v.html \"TensorFlow函数：tf.RegisterGradient\")\n   184. [TensorFlow函数：将base\\_type的对象转换为Tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kuxj2i7r.html \"TensorFlow函数：将base_type的对象转换为Tensor\")\n   185. [TensorFlow：tf.report\\_uninitialized\\_variables函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kgj12i9l.html \"TensorFlow：tf.report_uninitialized_variables函数\")\n   186. [TensorFlow函数：如何计算填充](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jpu92ic6.html \"TensorFlow函数：如何计算填充\")\n   187. [TensorFlow：tf.reset\\_default\\_graph函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nmgf2idd.html \"TensorFlow：tf.reset_default_graph函数\")\n   188. [TensorFlow：使用tf.reshape函数重塑张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bumd2ide.html \"TensorFlow：使用tf.reshape函数重塑张量\")\n   189. [TensorFlow：tf.reverse函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pjcm2ifr.html \"TensorFlow：tf.reverse函数\")\n   190. [TensorFlow函数：tf.reverse\\_sequence](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xhau2ihk.html \"TensorFlow函数：tf.reverse_sequence\")\n   191. [tf.reverse\\_v2函数：反转张量的特定维度](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7s9u2ikn.html \"tf.reverse_v2函数：反转张量的特定维度\")\n   192. [TensorFlow：tf.rint函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p5nz2in4.html \"TensorFlow：tf.rint函数\")\n   193. [TensorFlow四舍五入：tf.round函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cnvw2in5.html \"TensorFlow四舍五入：tf.round函数\")\n   194. [tf.rsqrt函数：TensorFlow平方根倒数计算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2oh42ipi.html \"tf.rsqrt函数：TensorFlow平方根倒数计算\")\n   195. [TensorFlow函数：tf.RunOptions](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-la9q2izr.html \"TensorFlow函数：tf.RunOptions\")\n   196. [TensorFlow函数：tf.saturate\\_cast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ht8s2j1k.html \"TensorFlow函数：tf.saturate_cast\")\n   197. [TensorFlow数学函数：tf.scalar\\_mul](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b18q2j1n.html \"TensorFlow数学函数：tf.scalar_mul\")\n   198. [TensorFlow函数：tf.scatter\\_nd](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-led42j40.html \"TensorFlow函数：tf.scatter_nd\")\n   199. [TensorFlow变量函数：tf.scatter\\_nd\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h5yo2j65.html \"TensorFlow变量函数：tf.scatter_nd_add\")\n   200. [TensorFlow：tf.scatter\\_nd\\_sub函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ucfx2j8s.html \"TensorFlow：tf.scatter_nd_sub函数\")\n   201. [TensorFlow函数：tf.scatter\\_nd\\_update](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mvda2jah.html \"TensorFlow函数：tf.scatter_nd_update\")\n   202. [TensorFlow函数：tf.scatter\\_sub](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1fc52jc9.html \"TensorFlow函数：tf.scatter_sub\")\n   203. [tf.scatter\\_update函数：将稀疏更新应用于变量引用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g3v22jf1.html \"tf.scatter_update函数：将稀疏更新应用于变量引用\")\n   204. [tf.segment\\_max函数：计算一个张量的最大沿段](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d53n2jf2.html \"tf.segment_max函数：计算一个张量的最大沿段\")\n   205. [TensorFlow：tf.segment\\_mean函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3hdm2jgq.html \"TensorFlow：tf.segment_mean函数\")\n   206. [TensorFlow：tf.segment\\_min函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pvm32jgs.html \"TensorFlow：tf.segment_min函数\")\n   207. [TensorFlow：tf.segment\\_prod函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ywg2jil.html \"TensorFlow：tf.segment_prod函数\")\n   208. [TensorFlow数学函数：tf.segment\\_sum函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ua7w2jip.html \"TensorFlow数学函数：tf.segment_sum函数\")\n   209. [TensorFlow数学函数：tf.self\\_adjoint\\_eig](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hxnm2jlw.html \"TensorFlow数学函数：tf.self_adjoint_eig\")\n   210. [TensorFlow数学函数：tf.self\\_adjoint\\_eigvals](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tgqx2jlx.html \"TensorFlow数学函数：tf.self_adjoint_eigvals\")\n   211. [TensorFlow张量变换函数：tf.sequence\\_mask](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2elp2jns.html \"TensorFlow张量变换函数：tf.sequence_mask\")\n   212. [TensorFlow：tf.serialize\\_many\\_sparse 函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f8a12jnu.html \"TensorFlow：tf.serialize_many_sparse 函数\")\n   213. [TensorFlow：tf.serialize\\_sparse函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pfeh2jpx.html \"TensorFlow：tf.serialize_sparse函数\")\n   214. [TensorFlow：tf.serialize\\_tensor函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5uhd2jrm.html \"TensorFlow：tf.serialize_tensor函数\")\n   215. [TensorFlow数学函数：tf.setdiff1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w3bd2jro.html \"TensorFlow数学函数：tf.setdiff1d\")\n   216. [TensorFlow随机张量：tf.set\\_random\\_seed函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fqc42jvo.html \"TensorFlow随机张量：tf.set_random_seed函数\")\n   217. [TensorFlow：tf.Session函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-slp52jz8.html \"TensorFlow：tf.Session函数\")\n   218. [TensorFlow张量变换函数：tf.shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qais2k0z.html \"TensorFlow张量变换函数：tf.shape\")\n   219. [TensorFlow：tf.shape\\_n函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-smjo2k45.html \"TensorFlow：tf.shape_n函数\")\n   220. [TensorFlow神经网络：tf.sigmoid函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d46p2k47.html \"TensorFlow神经网络：tf.sigmoid函数\")\n   221. [TensorFlow数学函数：tf.sign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i5vr2k6r.html \"TensorFlow数学函数：tf.sign\")\n   222. [TensorFlow数学函数：tf.sin函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l3qs2k6t.html \"TensorFlow数学函数：tf.sin函数\")\n   223. [TensorFlow数学函数：tf.sinh函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-km4u2k9k.html \"TensorFlow数学函数：tf.sinh函数\")\n   224. [TensorFlow张量变换：tf.size](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zowf2k9l.html \"TensorFlow张量变换：tf.size\")\n   225. [TensorFlow分割：tf.slice函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cdj92kbd.html \"TensorFlow分割：tf.slice函数\")\n   226. [TensorFlow：tf.space\\_to\\_batch函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wygr2kbg.html \"TensorFlow：tf.space_to_batch函数\")\n   227. [TensorFlow张量变换：tf.space\\_to\\_batch\\_nd函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-emqk2kf4.html \"TensorFlow张量变换：tf.space_to_batch_nd函数\")\n   228. [TensorFlow：tf.space\\_to\\_depth函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rkfq2kf9.html \"TensorFlow：tf.space_to_depth函数\")\n   229. [TensorFlow：tf.SparseConditionalAccumulator函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yc732khq.html \"TensorFlow：tf.SparseConditionalAccumulator函数\")\n   230. [TensorFlow函数：tf.SparseFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6ai52khv.html \"TensorFlow函数：tf.SparseFeature\")\n   231. [TensorFlow稀疏张量函数：tf.SparseTensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-le4w2kjm.html \"TensorFlow稀疏张量函数：tf.SparseTensor\")\n   232. [TensorFlow函数：tf.SparseTensorValue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cix62kjs.html \"TensorFlow函数：tf.SparseTensorValue\")\n   233. [TensorFlow函数：tf.sparse\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j9oc2l7p.html \"TensorFlow函数：tf.sparse_add\")\n   234. [TensorFlow函数：tf.sparse\\_concat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z5t32ld5.html \"TensorFlow函数：tf.sparse_concat\")\n   235. [TensorFlow函数：tf.sparse\\_fill\\_empty\\_rows](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-evr22ldc.html \"TensorFlow函数：tf.sparse_fill_empty_rows\")\n   236. [TensorFlow函数：tf.sparse\\_mask](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jbqn2lfh.html \"TensorFlow函数：tf.sparse_mask\")\n   237. [TensorFlow函数：tf.sparse\\_matmul](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b2ca2lfi.html \"TensorFlow函数：tf.sparse_matmul\")\n   238. [TensorFlow稀疏张量：tf.sparse\\_maximum函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qyhc2lhq.html \"TensorFlow稀疏张量：tf.sparse_maximum函数\")\n   239. [TensorFlow稀疏张量：tf.sparse\\_merge函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8ca92lhv.html \"TensorFlow稀疏张量：tf.sparse_merge函数\")\n   240. [TensorFlow函数：tf.sparse\\_minimum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9yfl2ll0.html \"TensorFlow函数：tf.sparse_minimum\")\n   241. [TensorFlow函数：tf.sparse\\_placeholder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zj1v2ll2.html \"TensorFlow函数：tf.sparse_placeholder\")\n   242. [TensorFlow函数：tf.sparse\\_reduce\\_max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7kto2lnq.html \"TensorFlow函数：tf.sparse_reduce_max\")\n   243. [TensorFlow函数：tf.sparse\\_reduce\\_max\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8kp22lnu.html \"TensorFlow函数：tf.sparse_reduce_max_sparse\")\n   244. [TensorFlow函数：tf.sparse\\_reduce\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hv612lqb.html \"TensorFlow函数：tf.sparse_reduce_sum\")\n   245. [TensorFlow函数：tf.sparse\\_reduce\\_sum\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j4w72lrm.html \"TensorFlow函数：tf.sparse_reduce_sum_sparse\")\n   246. [TensorFlow函数：tf.sparse\\_reorder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1wsb2lro.html \"TensorFlow函数：tf.sparse_reorder\")\n   247. [TensorFlow函数：tf.sparse\\_reset\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4plj2ltw.html \"TensorFlow函数：tf.sparse_reset_shape\")\n   248. [TensorFlow函数：tf.sparse\\_reshape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zoct2ltz.html \"TensorFlow函数：tf.sparse_reshape\")\n   249. [TensorFlow函数：tf.sparse\\_retain](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ad3z2lx3.html \"TensorFlow函数：tf.sparse_retain\")\n   250. [TensorFlow函数：tf.sparse\\_segment\\_mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3jzp2lx4.html \"TensorFlow函数：tf.sparse_segment_mean\")\n   251. [TensorFlow函数：tf.sparse\\_segment\\_sqrt\\_n](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pybc2lz3.html \"TensorFlow函数：tf.sparse_segment_sqrt_n\")\n   252. [TensorFlow数学函数：tf.sparse\\_segment\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4yfd2m0a.html \"TensorFlow数学函数：tf.sparse_segment_sum\")\n   253. [TensorFlow函数：tf.sparse\\_slice](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pl2f2m0i.html \"TensorFlow函数：tf.sparse_slice\")\n   254. [TensorFlow函数：tf.sparse\\_softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i6mg2m62.html \"TensorFlow函数：tf.sparse_softmax\")\n   255. [TensorFlow函数：tf.sparse\\_split](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ws7m2m63.html \"TensorFlow函数：tf.sparse_split\")\n   256. [TensorFlow函数：tf.sparse\\_tensor\\_dense\\_matmul](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f4s12m7w.html \"TensorFlow函数：tf.sparse_tensor_dense_matmul\")\n   257. [TensorFlow函数：tf.sparse\\_tensor\\_to\\_dense](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ca12m7z.html \"TensorFlow函数：tf.sparse_tensor_to_dense\")\n   258. [TensorFlow函数：tf.sparse\\_to\\_dense](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3axj2ma6.html \"TensorFlow函数：tf.sparse_to_dense\")\n   259. [TensorFlow函数：tf.sparse\\_to\\_indicator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w7hc2mab.html \"TensorFlow函数：tf.sparse_to_indicator\")\n   260. [TensorFlow函数：tf.sparse\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-or7q2mcw.html \"TensorFlow函数：tf.sparse_transpose\")\n   261. [TensorFlow函数：tf.split](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-x1yu2mcy.html \"TensorFlow函数：tf.split\")\n   262. [TensorFlow函数：tf.sqrt](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-75pb2mfi.html \"TensorFlow函数：tf.sqrt\")\n   263. [TensorFlow函数：tf.square](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p5lq2mfk.html \"TensorFlow函数：tf.square\")\n   264. [TensorFlow函数：tf.squared\\_difference](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o6al2mig.html \"TensorFlow函数：tf.squared_difference\")\n   265. [TensorFlow函数：tf.squeeze](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1yed2mih.html \"TensorFlow函数：tf.squeeze\")\n   266. [TensorFlow函数：tf.stack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-36hu2mm9.html \"TensorFlow函数：tf.stack\")\n   267. [TensorFlow函数：tf.stop\\_gradient](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jego2mma.html \"TensorFlow函数：tf.stop_gradient\")\n   268. [TensorFlow函数：tf.strided\\_slice](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vip72mnv.html \"TensorFlow函数：tf.strided_slice\")\n   269. [TensorFlow函数：tf.string\\_join](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ukns2mo5.html \"TensorFlow函数：tf.string_join\")\n   270. [TensorFlow函数：tf.string\\_split](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ys2z2mra.html \"TensorFlow函数：tf.string_split\")\n   271. [TensorFlow函数：tf.string\\_to\\_hash\\_bucket](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b7kc2mrg.html \"TensorFlow函数：tf.string_to_hash_bucket\")\n   272. [TensorFlow函数：tf.string\\_to\\_hash\\_bucket\\_fast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-krd42mus.html \"TensorFlow函数：tf.string_to_hash_bucket_fast\")\n   273. [TensorFlow函数：tf.string\\_to\\_hash\\_bucket\\_strong](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j82p2mut.html \"TensorFlow函数：tf.string_to_hash_bucket_strong\")\n   274. [TensorFlow函数：tf.string\\_to\\_number](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2kdb2my1.html \"TensorFlow函数：tf.string_to_number\")\n   275. [TensorFlow函数：tf.substr](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8e5w2my4.html \"TensorFlow函数：tf.substr\")\n   276. [TensorFlow函数：tf.subtract](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-duje2n2k.html \"TensorFlow函数：tf.subtract\")\n   277. [TensorFlow：Summary类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pe722n2p.html \"TensorFlow：Summary类\")\n   278. [TensorFlow函数：tf.svd](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i1th2n54.html \"TensorFlow函数：tf.svd\")\n   279. [TensorFlow函数：tf.tables\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-y5j32n55.html \"TensorFlow函数：tf.tables_initializer\")\n   280. [TensorFlow函数：tf.tan](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yazk2n7h.html \"TensorFlow函数：tf.tan\")\n   281. [TensorFlow函数：tf.tanh](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nusi2n9g.html \"TensorFlow函数：tf.tanh\")\n   282. [TensorFlow函数：tf.tensordot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-urjs2n9h.html \"TensorFlow函数：tf.tensordot\")\n   283. [TensorFlow函数：tf.TextLineReader](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2s342nbz.html \"TensorFlow函数：tf.TextLineReader\")\n   284. [TensorFlow函数：tf.tile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-k14x2nc7.html \"TensorFlow函数：tf.tile\")\n   285. [TensorFlow函数：tf.to\\_bfloat16](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xerq2ndi.html \"TensorFlow函数：tf.to_bfloat16\")\n   286. [TensorFlow函数：tf.to\\_double](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7zlv2ndj.html \"TensorFlow函数：tf.to_double\")\n   287. [TensorFlow函数：tf.to\\_float](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ayvr2nfu.html \"TensorFlow函数：tf.to_float\")\n   288. [TensorFlow函数：tf.to\\_int32](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l6vd2nfv.html \"TensorFlow函数：tf.to_int32\")\n   289. [TensorFlow函数：tf.to\\_int64](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wxuy2nm6.html \"TensorFlow函数：tf.to_int64\")\n   290. [TensorFlow函数：tf.trace](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-phqa2nm7.html \"TensorFlow函数：tf.trace\")\n   291. [TensorFlow函数：tf.trainable\\_variables](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mt3n2no2.html \"TensorFlow函数：tf.trainable_variables\")\n   292. [TensorFlow函数：tf.transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z61d2no5.html \"TensorFlow函数：tf.transpose\")\n   293. [TensorFlow函数：tf.truediv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mkop2nss.html \"TensorFlow函数：tf.truediv\")\n   294. [TensorFlow函数：tf.truncatediv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kfzp2nst.html \"TensorFlow函数：tf.truncatediv\")\n   295. [TensorFlow函数：tf.truncated\\_normal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-m94j2nux.html \"TensorFlow函数：tf.truncated_normal\")\n   296. [TensorFlow函数：tf.truncated\\_normal\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4pyc2nuy.html \"TensorFlow函数：tf.truncated_normal_initializer\")\n   297. [TensorFlow函数：tf.truncatemod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vz292nxf.html \"TensorFlow函数：tf.truncatemod\")\n   298. [TensorFlow函数：tf.tuple](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-byi32nxj.html \"TensorFlow函数：tf.tuple\")\n   299. [TensorFlow函数：tf.uniform\\_unit\\_scaling\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fy6t2o0o.html \"TensorFlow函数：tf.uniform_unit_scaling_initializer\")\n   300. [TensorFlow函数：tf.unique](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-duv62o0r.html \"TensorFlow函数：tf.unique\")\n   301. [TensorFlow函数：tf.unique\\_with\\_counts](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cdi62o34.html \"TensorFlow函数：tf.unique_with_counts\")\n   302. [TensorFlow函数：tf.unravel\\_index](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5rum2o39.html \"TensorFlow函数：tf.unravel_index\")\n   303. [TensorFlow函数：tf.unsorted\\_segment\\_max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n3o42o5y.html \"TensorFlow函数：tf.unsorted_segment_max\")\n   304. [TensorFlow函数：tf.unsorted\\_segment\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q3ce2o5z.html \"TensorFlow函数：tf.unsorted_segment_sum\")\n   305. [TensorFlow函数：tf.unstack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bsky2o7k.html \"TensorFlow函数：tf.unstack\")\n   306. [TensorFlow函数：tf.variables\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wrv82o7l.html \"TensorFlow函数：tf.variables_initializer\")\n   307. [TensorFlow函数：tf.variable\\_axis\\_size\\_partitioner](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-we2s2o9w.html \"TensorFlow函数：tf.variable_axis_size_partitioner\")\n   308. [TensorFlow函数：tf.variable\\_op\\_scope](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-znvu2o9x.html \"TensorFlow函数：tf.variable_op_scope\")\n   309. [TensorFlow函数：tf.variable\\_scope](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-61ue2ocp.html \"TensorFlow函数：tf.variable_scope\")\n   310. [TensorFlow函数：tf.variance\\_scaling\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e9tb2ocq.html \"TensorFlow函数：tf.variance_scaling_initializer\")\n   311. [TensorFlow函数：tf.VarLenFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8utg2oez.html \"TensorFlow函数：tf.VarLenFeature\")\n   312. [TensorFlow函数：tf.verify\\_tensor\\_all\\_finite](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z5822of0.html \"TensorFlow函数：tf.verify_tensor_all_finite\")\n   313. [TensorFlow函数：tf.where](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u6l92oik.html \"TensorFlow函数：tf.where\")\n   314. [TensorFlow函数：tf.while\\_loop](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wife2oil.html \"TensorFlow函数：tf.while_loop\")\n   315. [TensorFlow函数：tf.WholeFileReader](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3xkc2osa.html \"TensorFlow函数：tf.WholeFileReader\")\n   316. [TensorFlow函数：tf.write\\_file](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-43tf2oko.html \"TensorFlow函数：tf.write_file\")\n   317. [TensorFlow函数：tf.zeros](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3fj22okr.html \"TensorFlow函数：tf.zeros\")\n   318. [TensorFlow函数：tf.zeros\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-eo7k2opv.html \"TensorFlow函数：tf.zeros_initializer\")\n   319. [TensorFlow函数：tf.zeros\\_like](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rjsp2opw.html \"TensorFlow函数：tf.zeros_like\")\n   320. [TensorFlow函数：tf.zeta](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jv2n2os8.html \"TensorFlow函数：tf.zeta\")\n5. [TensorFlow 手写数字分类问题](\"TensorFlow的MNIST手写数字分类问题\")\n   1. [TensorFlow的MNIST手写数字分类问题 基础篇](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c1ov28so.html \"TensorFlow的MNIST手写数字分类问题  基础篇\")\n   2. [TensorFlow的MNIST手写数字分类问题 进阶篇](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vj8528sp.html \"TensorFlow的MNIST手写数字分类问题  进阶篇\")\n\n搜索\n\nA\n\nA\n\n默认\n\n护眼\n\n夜间\n\n阅读(11.6k)  [书签]()  [赞(3)]()  [分享](\"分享\")  [我要纠错](https:\/\/www.w3cschool.cn\/edit\/tensorflow_python\/tensorflow_python-caw628sg)\n\n# TensorFlow 入门基础\n2018-08-21 10:52 更新\n\n[您使用了广告拦截器。请将 www.w3cschool.cn 加入白名单，解除广告屏蔽后，刷新页面。谢谢。](https:\/\/wwads.cn\/page\/whitelist-wwads)\n\n[TensorFlow 入门基础](\"TensorFlow 入门基础\")\n1. [TensorFlow 介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bm7y28si.html \"介绍TensorFlow\")\n2. [TensorFlow 下载与安装](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9rbt28sr.html \"下载与安装TensorFlow\")\n3. 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[python怎么保留两位小数?几种方法总结！](https:\/\/www.w3cschool.cn\/article\/89475330.html \"python怎么保留两位小数?几种方法总结！\")\n\n## 推荐教程\n- [Python3 教程](https:\/\/www.w3cschool.cn\/python3 \"Python3 教程\")\n- [PyTorch 中文教程](https:\/\/www.w3cschool.cn\/pytorch \"PyTorch 中文教程\")\n- [Django3 中文教程](https:\/\/www.w3cschool.cn\/django \"Django3 中文教程\")\n- [pytest教程](https:\/\/www.w3cschool.cn\/pytest \"pytest教程\")\n- [腾讯代码安全指南](https:\/\/www.w3cschool.cn\/secguide \"腾讯代码安全指南\")\n\n## 推荐课程\n- [Python 数据科学入门](https:\/\/www.w3cschool.cn\/minicourse\/play\/python_data_science?fcode=tutorial-tensorflow_python \"Python 数据科学入门\")\n- [Python Flask 开发 Web 服务](https:\/\/www.w3cschool.cn\/minicourse\/play\/antpython11?fcode=tutorial-tensorflow_python \"Python Flask 开发 Web 服务\")\n- [Scrapy框架实战：制作图片爬虫](https:\/\/www.w3cschool.cn\/minicourse\/play\/scrapy_xb?fcode=tutorial-tensorflow_python \"Scrapy框架实战：制作图片爬虫\")\n- [Python 并发编程实战](https:\/\/www.w3cschool.cn\/minicourse\/play\/antpython04?fcode=tutorial-tensorflow_python 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代码小浣熊](https:\/\/www.xiaohuanxiong.com\/login?utm_source=blmay41)\n\n[![](https:\/\/atts.w3cschool.cn\/aitool-icon.png) 星辰Agent](https:\/\/agent.xfyun.cn\/home?ch=xcagent-aitool16)\n\n[![](https:\/\/atts.w3cschool.cn\/aitool-icon-1.png) 通义灵码](https:\/\/www.w3cschool.cn\/tongyilingma\/)\n\n[![](https:\/\/atts.w3cschool.cn\/aitool-icon-5.png) 文心快码](https:\/\/comate.baidu.com\/zh)\n\n[![](https:\/\/www.w3cschool.cn\/attachments\/webnav\/202412\/11734432755.png) CodeGeeX](https:\/\/www.w3cschool.cn\/codegeex\/)\n\n[![](https:\/\/atts.w3cschool.cn\/aitool-icon-3.png) GitHub Copilot](https:\/\/github.com\/features\/copilot)\n\n[![](https:\/\/atts.w3cschool.cn\/aitool-icon-4.png) Fitten Code](https:\/\/code.fittentech.com\/)\n\n![](https:\/\/atts.w3cschool.cn\/aitool-m.png)","attrs_readable_markdown":"[![TensorFlow官方文档](https:\/\/atts.w3cschool.cn\/attachments\/cover\/cover_tensorflow_python.png?t=1666251388?imageView2\/1\/w\/48\/h\/48) TensorFlow官方文档](https:\/\/www.w3cschool.cn\/tensorflow_python \"TensorFlow官方文档\")\n\n- 赞\n- 收藏\n\n- [更多文章](https:\/\/www.w3cschool.cn\/tensorflow_python\/list\/ \"更多文章\")\n\n- 目录\n- 搜索\n- 书签\n\n1. [TensorFlow 入门基础](\"TensorFlow 入门基础\")\n   1. [TensorFlow 介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bm7y28si.html \"介绍TensorFlow\")\n   2. [TensorFlow 下载与安装](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9rbt28sr.html \"下载与安装TensorFlow\")\n   3. [TensorFlow 基本使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fibz28ss.html \"TensorFlow的基本使用\")\n2. [TensorFlow 使用指南](\"TensorFlow 指南\")\n   1. [assert和布尔值检查函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d64v28su.html \"TensorFlow assert和布尔值检查函数\")\n   2. [贝叶斯熵（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hs4q28sv.html \"TensorFlow贝叶斯熵（contrib）\")\n   3. [贝叶斯蒙特卡罗（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-32bu28sw.html \"TensorFlow 贝叶斯蒙特卡罗（contrib）\")\n   4. [贝叶斯随机图（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jne328sx.html \"TensorFlow 贝叶斯随机图（contrib）\")\n   5. [贝叶斯随机张量（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7khf28sy.html \"TensorFlow 贝叶斯随机张量（contrib）\")\n   6. [贝叶斯变分推断（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qyo528sz.html \"TensorFlow 贝叶斯变分推断（contrib）\")\n   7. [构建图](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-31iw28tv.html \"TensorFlow 构建图\")\n   8. [生成常量，序列和随机值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-efts28tw.html \"TensorFlow生成常量，序列和随机值\")\n   9. [控制流程](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9su628tx.html \"TensorFlow 控制流程\")\n   10. [复制图形元素（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9jqm28ty.html \"TensorFlow 复制图形元素（contrib）\")\n   11. [CRF（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7kxc28tz.html \"TensorFlow CRF（contrib）\")\n   12. [数据IO（Python函数）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rc6y28u0.html \"TensorFlow 数据IO（Python函数）\")\n   13. [使用FFmpeg（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vyw628u1.html \"TensorFlow使用FFmpeg（contrib）\")\n   14. [框架（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-719s28u7.html \"TensorFlow 框架（contrib）\")\n   15. [图形编辑器（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6jpe28u8.html \"TensorFlow图形编辑器（contrib）\")\n   16. [高阶函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-smr728ub.html \"TensorFlow 高阶函数\")\n   17. [直方图](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rujw28uc.html \"TensorFlow直方图\")\n   18. [图像操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-36ws28ue.html \"TensorFlow图像操作\")\n   19. [输入和读取器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s7pv28uf.html \"TensorFlow 输入和读取器\")\n   20. [集成（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-16zs28ug.html \"TensorFlow的集成（contrib）\")\n   21. [层（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ugo128uh.html \"TensorFlow层（contrib）\")\n   22. [高级API](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-v53828uj.html \"学习TensorFlow的高级API\")\n   23. [线性代数库（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-52z428uk.html \"TensorFlow 线性代数库（contrib）\")\n   24. [损失（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-volg28ul.html \"TensorFlow损失（contrib）\")\n   25. [数学函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u7wa28vm.html \"TensorFlow 数学函数\")\n   26. [指标（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c7p628vn.html \"TensorFlow 指标（contrib）\")\n   27. [神经网络](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kd5h28vo.html \"TensorFlow 神经网络\")\n   28. [优化（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2ohy28vp.html \"TensorFlow 优化（contrib）\")\n   29. [随机变量变换（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-onrv28vq.html \"TensorFlow 随机变量变换（contrib）\")\n   30. [RNN和单元（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l8ba28vr.html \"TensorFlow RNN和单元（contrib）\")\n   31. [运行图](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lfi528vs.html \"TensorFlow 运行图\")\n   32. [Seq2seq库（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i8jh28vt.html \"TensorFlow Seq2seq库（contrib）\")\n   33. [稀疏张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pflh28vu.html \"TensorFlow 稀疏张量\")\n   34. [光谱函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aij928yl.html \"TensorFlow 光谱函数\")\n   35. [统计分布（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hilj28ym.html \"TensorFlow 统计分布（contrib）\")\n   36. [字符串操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-duwl28yn.html \"TensorFlow 字符串操作\")\n   37. [摘要操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3jkf28yp.html \"TensorFlow 摘要操作\")\n   38. [张量处理操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gnwm2c68.html \"TensorFlow 张量处理操作\")\n   39. [张量变换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-85v22c69.html \"TensorFlow 张量变换\")\n   40. [调试器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-91qg2c6a.html \"TensorFlow调试器\")\n   41. [测试](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9nqv2c6b.html \"TensorFlow 测试\")\n   42. [Training函数（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-31ld2c6d.html \"TensorFlow Training函数（contrib）\")\n   43. [Training函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-y6p82c6e.html \"TensorFlow Training函数\")\n   44. [实用程序（contrib）](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wguk2c6f.html \"TensorFlow 实用程序（contrib）\")\n   45. [变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rv8u2c6g.html \"TensorFlow 变量\")\n   46. [包装python函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2u1x2c6h.html \"TensorFlow 包装python函数\")\n   47. [将数据导入TensorFlow](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-urli2dhu.html \"将数据导入TensorFlow\")\n3. [TensorFlow 函数介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s17p28vv.html \"TensorFlow 函数介绍\")\n   1. [TensorFlow 函数模块：tf](\"TensorFlow 函数模块：tf\")\n      1. [TensorFlow app模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-58lx2coj.html \"TensorFlow app模块\")\n      2. [TensorFlow bitwise模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qiut2d8o.html \"bitwise模块\")\n         1. [TensorFlow 元素按位与运算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xpga2d8p.html \"TensorFlow元素按位与运算\")\n         2. [TensorFlow bitwise\\_or运算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6r8y2d8q.html \"bitwise_or运算\")\n         3. [TensorFlow 元素按位异或](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qle82d8u.html \"TensorFlow元素按位异或\")\n         4. [TensorFlow 翻转所有位元素](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cfxe2d8v.html \"翻转TensorFlow所有位元素\")\n         5. [TensorFlow按位左移函数：tf.bitwise.left\\_shift](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wefa2ov7.html \"TensorFlow按位左移函数：tf.bitwise.left_shift\")\n         6. [TensorFlow按位右移函数：tf.bitwise.right\\_shift](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zu172ova.html \"TensorFlow按位右移函数：tf.bitwise.right_shift\")\n      3. [TensorFlow compat模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-32xo2col.html \"TensorFlow compat模块\")\n         1. [TensorFlow 字节和Unicode转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-m8el2com.html \"TensorFlow 字节和Unicode转换\")\n         2. [TensorFlow str的转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fcbk2con.html \"TensorFlow str的转换\")\n         3. [TensorFlow 返回给定参数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-oaet2coo.html \"TensorFlow 返回给定参数\")\n         4. [TensorFlow函数：tf.compat.path\\_to\\_str](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ijhd2oya.html \"TensorFlow函数：tf.compat.path_to_str\")\n      4. [TensorFlow contrib模块](\"TensorFlow contrib模块\")\n         1. [TensorFlow 估计ELBO和KL散度中出现的比值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6t8228wb.html \"TensorFlow 估计ELBO和KL散度中出现的比值\")\n         2. [TensorFlow 计算Monte Carlo或Shannon熵的确定性](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c6ez28xm.html \"TensorFlow 计算Monte Carlo或Shannon熵的确定性\")\n         3. [TensorFlow Renyi方法的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jz2w28xn.html \"TensorFlow Renyi方法的使用\")\n         4. [TensorFlow 计算Renyi分歧](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nxd828xp.html \"TensorFlow 计算Renyi分歧\")\n         5. [TensorFlow Monte Carlo期望值计算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ki5j28xq.html \"TensorFlow Monte Carlo期望值计算\")\n         6. [TensorFlow Monte Carlo重要性抽样估计](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ncw28yi.html \"TensorFlow Monte Carlo重要性抽样估计\")\n         7. [TensorFlow 对数空间的重要性抽样估计](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l69t28yj.html \"TensorFlow 对数空间的重要性抽样估计\")\n         8. [TensorFlow 随机图的代理损失](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3szt2c8q.html \"TensorFlow 随机图的代理损失\")\n         9. [TensorFlow 发出随机值的张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gjl12c8u.html \"TensorFlow 发出随机值的张量\")\n         10. [TensorFlow 获取随机张量值类型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p4t22c8x.html \"TensorFlow 获取随机张量值类型\")\n         11. [TensorFlow 随机张量值类型的MeanValue类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1i7f2c8z.html \"TensorFlow 随机张量值类型的MeanValue类\")\n         12. [TensorFlow 具有观察值的 StochasticTensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ti6y2cb9.html \"TensorFlow 具有观察值的 StochasticTensor\")\n         13. [TensorFlow绘制样本](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qbe92cbc.html \"TensorFlow绘制样本\")\n         14. [TensorFlow StochasticTensor详细介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1hf42cbg.html \"TensorFlow StochasticTensor详细介绍\")\n         15. [TensorFlow创建值类型上下文](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bvh12cbi.html \"TensorFlow创建值类型上下文\")\n         16. [TensorFlow 变分推理操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7f3u2cbl.html \"TensorFlow 变分推理操作\")\n         17. [在TensorFlow中创建一个BigQueryReader](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9hat2cby.html \"在TensorFlow中创建一个BigQueryReader\")\n         18. [TensorFlow中copy的使用方法](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2giy2cci.html \"TensorFlow中copy的使用方法\")\n         19. [TensorFlow中与CRF有关的操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ivh2cct.html \"TensorFlow中与CRF有关的操作\")\n         20. [TensorFlow使用Cudnn实现模型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3rto2cg1.html \"TensorFlow使用Cudnn实现模型\")\n         21. [TensorFlow处理RNN参数变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-23ue2cgp.html \"TensorFlow处理RNN参数变量\")\n         22. [TensorFlow的数据集](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pqdr2cqn.html \"TensorFlow的数据集\")\n         23. [TensorFlow创建固定长度记录的Dataset](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1bi62crg.html \"TensorFlow创建固定长度记录的Dataset\")\n         24. [TensorFlow 使用Iterator类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yw2d2da8.html \"使用Iterator类\")\n         25. [TensorFlow读取批处理](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nari2da9.html \"TensorFlow读取批处理\")\n         26. [TensorFlow对数据集重新取样](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6qba2dbp.html \"TensorFlow对数据集重新取样\")\n         27. [TensorFlow文本文件行的数据集](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8pwb2dbr.html \"TensorFlow文本文件行的数据集\")\n         28. [包含TFRecord文件记录的数据集](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2rpy2dko.html \"包含TFRecord文件记录的数据集\")\n      5. [TensorFlow的errors模块](\"TensorFlow的errors模块\")\n         1. [TensorFlow的errors模块总览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7rsk2ctr.html \"TensorFlow的errors模块总览\")\n         2. [TensorFlow操作被中止](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b9o12ctt.html \"TensorFlow操作被中止\")\n         3. [TensorFlow处理已存在的error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-345n2czg.html \"TensorFlow处理已存在的error\")\n         4. [TensorFlow取消操作或步骤时引发的error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lyao2d13.html \"TensorFlow取消操作或步骤时引发的error\")\n         5. [DataLossError类的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jkzn2d16.html \"DataLossError类的使用\")\n         6. [处理DeadlineExceededError](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d9tr2d17.html \"处理DeadlineExceededError\")\n         7. [处理FailedPreconditionError](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wn6p2d19.html \"处理FailedPreconditionError\")\n         8. [InternalError的处理](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rp6e2d1a.html \"InternalError的处理\")\n         9. [TensorFlow的InvalidArgumentError类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uikg2d1b.html \"TensorFlow的InvalidArgumentError类\")\n         10. [NotFoundError如何引发](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-t62e2d50.html \"NotFoundError如何引发\")\n         11. [TensorFlow操作迭代超过有效的输入范围](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9buk2d51.html \"TensorFlow操作迭代超过有效的输入范围\")\n         12. [TensorFlow调用方没有运行操作权限怎么办](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gpte2d52.html \"TensorFlow调用方没有运行操作权限怎么办\")\n         13. [TensorFlow资源用尽引发的异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vbq62dc4.html \"TensorFlow资源用尽引发的异常\")\n         14. [TensorFlow无效身份验证引发的异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7u492dph.html \"TensorFlow无效身份验证引发的异常\")\n         15. [当前不可用的runtime异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wlqf2dpl.html \"当前不可用的runtime异常\")\n         16. [TensorFlow 操作未实现引发的异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3bme2dsc.html \"操作未实现会引发TensorFlow异常吗\")\n         17. [UnknownError异常](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gwvy2dsi.html \"UnknownError异常\")\n      6. [estimator模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xp3r2dl5.html \"estimator模块\")\n         1. [TensorFlow如何生成解析规范](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zwy42doy.html \"TensorFlow如何生成解析规范\")\n         2. [TensorFlow如何使用DNN模型分类器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9qls2dp4.html \"如何使用DNN模型分类器\")\n         3. [TensorFlow DNNLinear组合分类器的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4gn82dty.html \"DNNLinear组合分类器的使用\")\n         4. [TensorFlow DNN回归模型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9s7b2e08.html \"DNN回归模型\")\n         5. [TensorFlow DNN模型的回归器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-61mk2e0b.html \"DNN模型的回归器\")\n         6. [TensorFlow的estimator类函数：tf.estimator.Estimator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hd9a2oyb.html \"TensorFlow的estimator类函数：tf.estimator.Estimator\")\n         7. [TensorFlow函数：tf.estimator.EstimatorSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q5hc2ozv.html \"TensorFlow函数：tf.estimator.EstimatorSpec\")\n         8. [TensorFlow函数：tf.estimator.EvalSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2z8n2p0s.html \"TensorFlow函数：tf.estimator.EvalSpec\")\n         9. [TensorFlow函数：tf.estimator.Exporter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uqwb2p44.html \"TensorFlow函数：tf.estimator.Exporter\")\n         10. [TensorFlow函数：tf.estimator.FinalExporter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h5xt2p6i.html \"TensorFlow函数：tf.estimator.FinalExporter\")\n         11. [TensorFlow函数：tf.estimator.LatestExporter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-doct2p6k.html \"TensorFlow函数：tf.estimator.LatestExporter\")\n         12. [TensorFlow函数：tf.estimator.ModeKeys](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8gjs2p9i.html \"TensorFlow函数：tf.estimator.ModeKeys\")\n         13. [TensorFlow函数：tf.estimator.regressor\\_parse\\_example\\_spec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-itjb2p9l.html \"TensorFlow函数：tf.estimator.regressor_parse_example_spec\")\n         14. [TensorFlow函数：tf.estimator.RunConfig](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kc342pc7.html \"TensorFlow函数：tf.estimator.RunConfig\")\n         15. [TensorFlow函数：tf.estimator.TrainSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s7gp2pdn.html \"TensorFlow函数：tf.estimator.TrainSpec\")\n         16. [TensorFlow函数：tf.estimator.VocabInfo](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f6je2pe2.html \"TensorFlow函数：tf.estimator.VocabInfo\")\n         17. [TensorFlow函数：tf.estimator.WarmStartSettings](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2agr2pfl.html \"TensorFlow函数：tf.estimator.WarmStartSettings\")\n      7. [TensorFlow怎么使用gfile模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3d5z2ebb.html \"TensorFlow怎么使用gfile模块\")\n         1. [将TensorFlow文件数据复制到新路径](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5u2e2ebe.html \"将TensorFlow文件数据复制到新路径\")\n         2. [文件I\/O包装器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qevz2ed7.html \"文件I\/O包装器\")\n         3. [TensorFlow如何使用GFile类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ys1p2emt.html \"TensorFlow如何使用GFile类\")\n         4. [TensorFlow返回模式匹配文件列表](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b3iw2emv.html \"TensorFlow返回模式匹配文件列表\")\n         5. [TensorFlow函数：tf.gfile.IsDirectory](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-za3e2pi5.html \"TensorFlow函数：tf.gfile.IsDirectory\")\n         6. [TensorFlow函数：tf.gfile.ListDirectory](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3pqc2pl9.html \"TensorFlow函数：tf.gfile.ListDirectory\")\n         7. [TensorFlow函数：tf.gfile.MakeDirs](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-scx62plb.html \"TensorFlow函数：tf.gfile.MakeDirs\")\n         8. [TensorFlow函数：tf.gfile.MkDir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8aj72plc.html \"TensorFlow函数：tf.gfile.MkDir\")\n         9. [TensorFlow函数：tf.gfile.Remove](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zbfg2pp0.html \"TensorFlow函数：tf.gfile.Remove\")\n         10. [TensorFlow函数：tf.gfile.Rename](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-chf62pp5.html \"TensorFlow函数：tf.gfile.Rename\")\n         11. [TensorFlow函数：tf.gfile.Stat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fxgv2prh.html \"TensorFlow函数：tf.gfile.Stat\")\n         12. [TensorFlow函数：tf.gfile.Walk](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2qb42pri.html \"TensorFlow函数：tf.gfile.Walk\")\n      8. [TensorFlow的graph\\_util模块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-45zy2ekn.html \"TensorFlow的graph_util模块\")\n         1. [TensorFlow如何用常量替换变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n9ix2ekq.html \"TensorFlow如何用常量替换变量\")\n         2. [如何操作TensorFlow张量图的节点](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tw1o2eku.html \"如何操作TensorFlow张量图的节点\")\n         3. [TensorFlow函数：tf.graph\\_util.must\\_run\\_on\\_cpu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-t2ip2ptc.html \"TensorFlow函数：tf.graph_util.must_run_on_cpu\")\n         4. [TensorFlow函数：tf.graph\\_util.remove\\_training\\_nodes](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jb2v2ptf.html \"TensorFlow函数：tf.graph_util.remove_training_nodes\")\n         5. [TensorFlow函数：tf.graph\\_util.tensor\\_shape\\_from\\_node\\_def\\_name](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3kwe2pvc.html \"TensorFlow函数：tf.graph_util.tensor_shape_from_node_def_name\")\n      9. [TensorFlow的image模块](\"TensorFlow的image模块\")\n         1. [TensorFlow模块：tf.image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zkgb2pve.html \"TensorFlow模块：tf.image\")\n         2. [TensorFlow函数：tf.image.adjust\\_brightness](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-doin2py9.html \"TensorFlow函数：tf.image.adjust_brightness\")\n         3. [TensorFlow函数：tf.image.adjust\\_contrast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ug9z2pyg.html \"TensorFlow函数：tf.image.adjust_contrast\")\n         4. [TensorFlow函数：tf.image.adjust\\_gamma](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ych22pzm.html \"TensorFlow函数：tf.image.adjust_gamma\")\n         5. [TensorFlow函数：tf.image.adjust\\_hue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zy382q20.html \"TensorFlow函数：tf.image.adjust_hue\")\n         6. [TensorFlow函数：tf.image.adjust\\_saturation](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2auk2q28.html \"TensorFlow函数：tf.image.adjust_saturation\")\n         7. [TensorFlow函数：tf.image.central\\_crop](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-43xt2q3t.html \"TensorFlow函数：tf.image.central_crop\")\n         8. [TensorFlow函数：tf.image.convert\\_image\\_dtype](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4m592q3z.html \"TensorFlow函数：tf.image.convert_image_dtype\")\n         9. [TensorFlow函数：tf.image.crop\\_and\\_resize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bwr22q6g.html \"TensorFlow函数：tf.image.crop_and_resize\")\n         10. [TensorFlow函数：tf.image.crop\\_to\\_bounding\\_box](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lq9p2q6k.html \"TensorFlow函数：tf.image.crop_to_bounding_box\")\n         11. [TensorFlow函数：tf.image.decode\\_and\\_crop\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e4on2q86.html \"TensorFlow函数：tf.image.decode_and_crop_jpeg\")\n         12. [TensorFlow函数：tf.image.decode\\_bmp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cqvt2q87.html \"TensorFlow函数：tf.image.decode_bmp\")\n         13. [TensorFlow函数：tf.image.decode\\_gif](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qeul2qa4.html \"TensorFlow函数：tf.image.decode_gif\")\n         14. [TensorFlow函数：tf.image.decode\\_image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ug6x2qa6.html \"TensorFlow函数：tf.image.decode_image\")\n         15. [TensorFlow函数：tf.image.decode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jkyc2qdv.html \"TensorFlow函数：tf.image.decode_jpeg\")\n         16. [TensorFlow函数：tf.image.decode\\_png](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o3id2qdw.html \"TensorFlow函数：tf.image.decode_png\")\n         17. [TensorFlow函数：tf.image.draw\\_bounding\\_boxes](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hvpu2qfz.html \"TensorFlow函数：tf.image.draw_bounding_boxes\")\n         18. [TensorFlow函数：tf.image.encode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2d8l2qg4.html \"TensorFlow函数：tf.image.encode_jpeg\")\n         19. [TensorFlow函数：tf.image.encode\\_png](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8dv62qil.html \"TensorFlow函数：tf.image.encode_png\")\n         20. [TensorFlow函数：tf.image.extract\\_glimpse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d6n72qim.html \"TensorFlow函数：tf.image.extract_glimpse\")\n         21. [TensorFlow函数：tf.image.extract\\_jpeg\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lke82qln.html \"TensorFlow函数：tf.image.extract_jpeg_shape\")\n         22. [TensorFlow函数：tf.image.flip\\_left\\_right](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-auzm2qlq.html \"TensorFlow函数：tf.image.flip_left_right\")\n         23. [TensorFlow函数：tf.image.flip\\_up\\_down](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i7l52qnw.html \"TensorFlow函数：tf.image.flip_up_down\")\n         24. [TensorFlow函数：tf.image.grayscale\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-781j2qnx.html \"TensorFlow函数：tf.image.grayscale_to_rgb\")\n         25. [TensorFlow函数：tf.image.hsv\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nkxe2qqk.html \"TensorFlow函数：tf.image.hsv_to_rgb\")\n         26. [TensorFlow函数：tf.image.image\\_gradients](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4q2f2qqn.html \"TensorFlow函数：tf.image.image_gradients\")\n         27. [TensorFlow函数：tf.image.is\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mzty2qqo.html \"TensorFlow函数：tf.image.is_jpeg\")\n         28. [TensorFlow函数：tf.image.non\\_max\\_suppression](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9qjv2qva.html \"TensorFlow函数：tf.image.non_max_suppression\")\n         29. [TensorFlow函数：tf.image.pad\\_to\\_bounding\\_box](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-afov2qvc.html \"TensorFlow函数：tf.image.pad_to_bounding_box\")\n         30. [TensorFlow函数：tf.image.per\\_image\\_standardization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vbyx2qyr.html \"TensorFlow函数：tf.image.per_image_standardization\")\n         31. [TensorFlow函数：tf.image.psnr](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j26v2qyu.html \"TensorFlow函数：tf.image.psnr\")\n         32. [TensorFlow函数：tf.image.random\\_brightness](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j4yp2r11.html \"TensorFlow函数：tf.image.random_brightness\")\n         33. [TensorFlow函数：tf.image.random\\_contrast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-famw2r12.html \"TensorFlow函数：tf.image.random_contrast\")\n         34. [TensorFlow函数：tf.image.random\\_flip\\_left\\_right](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-r6kb2r34.html \"TensorFlow函数：tf.image.random_flip_left_right\")\n         35. [TensorFlow函数：tf.image.random\\_flip\\_up\\_down](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-867h2r35.html \"TensorFlow函数：tf.image.random_flip_up_down\")\n         36. [TensorFlow函数：tf.image.random\\_hue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j7n62r6t.html \"TensorFlow函数：tf.image.random_hue\")\n         37. [TensorFlow函数：tf.image.random\\_saturation](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zg3y2r6w.html \"TensorFlow函数：tf.image.random_saturation\")\n         38. [TensorFlow函数：tf.image.ResizeMethod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6poe2r9f.html \"TensorFlow函数：tf.image.ResizeMethod\")\n         39. [TensorFlow函数：tf.image.resize\\_area](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yh7f2r9i.html \"TensorFlow函数：tf.image.resize_area\")\n         40. [TensorFlow函数：tf.image.resize\\_bicubic](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7jlr2rbr.html \"TensorFlow函数：tf.image.resize_bicubic\")\n         41. [TensorFlow函数：tf.image.resize\\_bilinear](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nk642rbu.html \"TensorFlow函数：tf.image.resize_bilinear\")\n         42. [TensorFlow函数：tf.image.resize\\_images](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5ymn2rer.html \"TensorFlow函数：tf.image.resize_images\")\n         43. [TensorFlow函数：tf.image.resize\\_image\\_with\\_crop\\_or\\_pad](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dh432reu.html \"TensorFlow函数：tf.image.resize_image_with_crop_or_pad\")\n         44. [TensorFlow函数：tf.image.resize\\_nearest\\_neighbor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u5bi2rgy.html \"TensorFlow函数：tf.image.resize_nearest_neighbor\")\n         45. [TensorFlow函数：tf.image.rgb\\_to\\_grayscale](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zbj52rgz.html \"TensorFlow函数：tf.image.rgb_to_grayscale\")\n         46. [TensorFlow函数：tf.image.rgb\\_to\\_hsv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j8iz2rk5.html \"TensorFlow函数：tf.image.rgb_to_hsv\")\n         47. [TensorFlow函数：tf.image.rgb\\_to\\_yiq](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6tzf2rk6.html \"TensorFlow函数：tf.image.rgb_to_yiq\")\n         48. [TensorFlow函数：tf.image.rgb\\_to\\_yuv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-evcn2rm9.html \"TensorFlow函数：tf.image.rgb_to_yuv\")\n         49. [TensorFlow函数：tf.image.rot90](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ukgr2rmg.html \"TensorFlow函数：tf.image.rot90\")\n         50. [TensorFlow函数：tf.image.sample\\_distorted\\_bounding\\_box](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vmxq2rpm.html \"TensorFlow函数：tf.image.sample_distorted_bounding_box\")\n         51. [TensorFlow函数：tf.image.sobel\\_edges](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-szpy2rq1.html \"TensorFlow函数：tf.image.sobel_edges\")\n         52. [TensorFlow函数：tf.image.ssim](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c5xz2rsh.html \"TensorFlow函数：tf.image.ssim\")\n         53. [TensorFlow函数：tf.image.ssim\\_multiscale](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hr7w2rsi.html \"TensorFlow函数：tf.image.ssim_multiscale\")\n         54. [TensorFlow函数：tf.image.total\\_variation](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b5232ru7.html \"TensorFlow函数：tf.image.total_variation\")\n         55. [TensorFlow函数：tf.image.transpose\\_image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5f7x2rua.html \"TensorFlow函数：tf.image.transpose_image\")\n         56. [TensorFlow函数：tf.image.yiq\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4r5c2rzy.html \"TensorFlow函数：tf.image.yiq_to_rgb\")\n         57. [TensorFlow函数：tf.image.yuv\\_to\\_rgb](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s2v72s08.html \"TensorFlow函数：tf.image.yuv_to_rgb\")\n      10. [TensorFlow使用之tf.initializers](\"TensorFlow使用之tf.initializers\")\n          1. [TensorFlow模块：tf.initializers](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1n242s3h.html \"TensorFlow模块：tf.initializers\")\n          2. [TensorFlow函数：tf.initializers.identity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d6sg2s3k.html \"TensorFlow函数：tf.initializers.identity\")\n      11. [TensorFlow使用之tf.io](\"TensorFlow使用之tf.io\")\n          1. [tf.io概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io.html \"tf.io概览\")\n          2. [decode\\_and\\_crop\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_and_crop_jpeg.html \"TensorFlow函数教程：tf.io.decode_and_crop_jpeg\")\n          3. [decode\\_base64](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_base64.html \"TensorFlow函数教程：tf.io.decode_base64\")\n          4. [decode\\_bmp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_bmp.html \"TensorFlow函数教程：tf.io.decode_bmp\")\n          5. [decode\\_compressed](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_compressed.html \"TensorFlow函数教程：tf.io.decode_compressed\")\n          6. [decode\\_csv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_csv.html \"TensorFlow函数教程：tf.io.decode_csv\")\n          7. [decode\\_gif](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_gif.html \"TensorFlow函数教程：tf.io.decode_gif\")\n          8. [decode\\_image](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_image.html \"TensorFlow函数教程：tf.io.decode_image\")\n          9. [decode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_jpeg.html \"TensorFlow函数教程：tf.io.decode_jpeg\")\n          10. [decode\\_json\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_json_example.html \"TensorFlow函数教程：tf.io.decode_json_example\")\n          11. [decode\\_png](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_png.html \"TensorFlow函数教程：tf.io.decode_png\")\n          12. [decode\\_raw](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_decode_raw.html \"TensorFlow函数教程：tf.io.decode_raw\")\n          13. [deserialize\\_many\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_deserialize_many_sparse.html \"TensorFlow函数教程：tf.io.deserialize_many_sparse\")\n          14. [encode\\_base64](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_encode_base64.html \"TensorFlow函数教程：tf.io.encode_base64\")\n          15. [encode\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_encode_jpeg.html \"TensorFlow函数教程：tf.io.encode_jpeg\")\n          16. [extract\\_jpeg\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_extract_jpeg_shape.html \"TensorFlow函数教程：tf.io.extract_jpeg_shape\")\n          17. [FixedLenFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_FixedLenFeature.html \"TensorFlow函数教程：tf.io.FixedLenFeature\")\n          18. [FixedLenSequenceFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_FixedLenSequenceFeature.html \"TensorFlow函数教程：tf.io.FixedLenSequenceFeature\")\n          19. [is\\_jpeg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_is_jpeg.html \"TensorFlow函数教程：tf.io.is_jpeg\")\n          20. [matching\\_files](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_matching_files.html \"TensorFlow函数教程：tf.io.matching_files\")\n          21. [match\\_filenames\\_once](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_match_filenames_once.html \"TensorFlow函数教程：tf.io.match_filenames_once\")\n          22. [PaddingFIFOQueue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_PaddingFIFOQueue.html \"TensorFlow函数教程：tf.io.PaddingFIFOQueue\")\n          23. [parse\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_example.html \"TensorFlow函数教程：tf.io.parse_example\")\n          24. [parse\\_sequence\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_sequence_example.html \"TensorFlow函数教程：tf.io.parse_sequence_example\")\n          25. [parse\\_single\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_single_example.html \"TensorFlow函数教程：tf.io.parse_single_example\")\n          26. [parse\\_single\\_sequence\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_single_sequence_example.html \"TensorFlow函数教程：tf.io.parse_single_sequence_example\")\n          27. [parse\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_parse_tensor.html \"TensorFlow函数教程：tf.io.parse_tensor\")\n          28. [read\\_file](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_read_file.html \"TensorFlow函数教程：tf.io.read_file\")\n          29. [serialize\\_many\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_serialize_many_sparse.html \"TensorFlow函数教程：tf.io.serialize_many_sparse\")\n          30. [serialize\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_serialize_sparse.html \"TensorFlow函数教程：tf.io.serialize_sparse\")\n          31. [serialize\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_serialize_tensor.html \"TensorFlow函数教程：tf.io.serialize_tensor\")\n          32. [SparseFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_SparseFeature.html \"TensorFlow函数教程：tf.io.SparseFeature\")\n          33. [TFRecordCompressionType](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_TFRecordCompressionType.html \"TensorFlow函数教程：tf.io.TFRecordCompressionType\")\n          34. [TFRecordOptions](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_TFRecordOptions.html \"TensorFlow函数教程：tf.io.TFRecordOptions\")\n          35. [TFRecordWriter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_TFRecordWriter.html \"TensorFlow函数教程：tf.io.TFRecordWriter\")\n          36. [tf\\_record\\_iterator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_tf_record_iterator.html \"TensorFlow函数教程：tf.io.tf_record_iterator\")\n          37. [VarLenFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_VarLenFeature.html \"TensorFlow函数教程：tf.io.VarLenFeature\")\n          38. [write\\_file](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_write_file.html \"TensorFlow函数教程：tf.io.write_file\")\n          39. [write\\_graph](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_write_graph.html \"TensorFlow函数教程：tf.io.write_graph\")\n          40. [gfile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile.html \"TensorFlow函数教程：tf.io.gfile\")\n              1. [copy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_copy.html \"TensorFlow函数教程：tf.io.gfile.copy\")\n              2. [exists](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_exists.html \"TensorFlow函数教程：tf.io.gfile.exists\")\n              3. [GFile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_GFile.html \"TensorFlow函数教程：tf.io.gfile.GFile\")\n              4. [glob](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_glob.html \"TensorFlow函数教程：tf.io.gfile.glob\")\n              5. [isdir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_isdir.html \"TensorFlow函数教程：tf.io.gfile.isdir\")\n              6. [listdir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_listdir.html \"TensorFlow函数教程：tf.io.gfile.listdir\")\n              7. [makedirs](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_makedirs.html \"TensorFlow函数教程：tf.io.gfile.makedirs\")\n              8. [mkdir](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_mkdir.html \"TensorFlow函数教程：tf.io.gfile.mkdir\")\n              9. [remove](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_remove.html \"TensorFlow函数教程：tf.io.gfile.remove\")\n              10. [rename](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_rename.html \"TensorFlow函数教程：tf.io.gfile.rename\")\n              11. [rmtree](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_rmtree.html \"TensorFlow函数教程：tf.io.gfile.rmtree\")\n              12. [stat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_stat.html \"TensorFlow函数教程：tf.io.gfile.stat\")\n              13. [walk](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_io_gfile_walk.html \"TensorFlow函数教程：tf.io.gfile.walk\")\n      12. [TensorFlow使用之tf.keras](\"TensorFlow使用之tf.keras\")\n          1. [TensorFlow模块：tf.keras](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5dym2s6j.html \"TensorFlow模块：tf.keras\")\n          2. [Input](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-63xs2s6r.html \"TensorFlow函数：tf.keras.Input\")\n          3. [activations](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations.html \"TensorFlow函数教程：tf.keras.activations\")\n             1. [deserialize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_deserialize.html \"TensorFlow函数教程：tf.keras.activations.deserialize\")\n             2. [elu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_elu.html \"TensorFlow函数教程：tf.keras.activations.elu\")\n             3. [exponential](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_exponential.html \"TensorFlow函数教程：tf.keras.activations.exponential\")\n             4. [get](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_get.html \"TensorFlow函数教程：tf.keras.activations.get\")\n             5. [hard\\_sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_hard_sigmoid.html \"TensorFlow函数教程：tf.keras.activations.hard_sigmoid\")\n             6. [linear](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_linear.html \"TensorFlow函数教程：tf.keras.activations.linear\")\n             7. [relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_relu.html \"TensorFlow函数教程：tf.keras.activations.relu\")\n             8. [selu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_selu.html \"TensorFlow函数教程：tf.keras.activations.selu\")\n             9. [serialize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_serialize.html \"TensorFlow函数教程：tf.keras.activations.serialize\")\n             10. [sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_sigmoid.html \"TensorFlow函数教程：tf.keras.activations.sigmoid\")\n             11. [softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_softmax.html \"TensorFlow函数教程：tf.keras.activations.softmax\")\n             12. [softplus](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_softplus.html \"TensorFlow函数教程：tf.keras.activations.softplus\")\n             13. [softsign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_softsign.html \"TensorFlow函数教程：tf.keras.activations.softsign\")\n             14. [tanh](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_activations_tanh.html \"TensorFlow函数教程：tf.keras.activations.tanh\")\n          4. [applications](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_applications.html \"TensorFlow函数教程：tf.keras.applications\")\n          5. [backend](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend.html \"TensorFlow函数教程：tf.keras.backend\")\n             1. [abs](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_abs.html \"TensorFlow函数教程：tf.keras.backend.abs\")\n             2. [all](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_all.html \"TensorFlow函数教程：tf.keras.backend.all\")\n             3. [any](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_any.html \"TensorFlow函数教程：tf.keras.backend.any\")\n             4. [arange](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_arange.html \"TensorFlow函数教程：tf.keras.backend.arange\")\n             5. [argmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_argmax.html \"TensorFlow函数教程：tf.keras.backend.argmax\")\n             6. [argmin](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_argmin.html \"TensorFlow函数教程：tf.keras.backend.argmin\")\n             7. [backend](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_backend.html \"TensorFlow函数教程：tf.keras.backend.backend\")\n             8. [batch\\_dot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_dot.html \"TensorFlow函数教程：tf.keras.backend.batch_dot\")\n             9. [batch\\_flatten](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_flatten.html \"TensorFlow函数教程：tf.keras.backend.batch_flatten\")\n             10. [batch\\_get\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_get_value.html \"TensorFlow函数教程：tf.keras.backend.batch_get_value\")\n             11. [batch\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_normalization.html \"TensorFlow函数教程：tf.keras.backend.batch_normalization\")\n             12. [batch\\_set\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_batch_set_value.html \"TensorFlow函数教程：tf.keras.backend.batch_set_value\")\n             13. [bias\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_bias_add.html \"TensorFlow函数教程：tf.keras.backend.bias_add\")\n             14. [binary\\_crossentropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_binary_crossentropy.html \"TensorFlow函数教程：tf.keras.backend.binary_crossentropy\")\n             15. [cast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_cast.html \"TensorFlow函数教程：tf.keras.backend.cast\")\n             16. [cast\\_to\\_floatx](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_cast_to_floatx.html \"TensorFlow函数教程：tf.keras.backend.cast_to_floatx\")\n             17. [categorical\\_crossentropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_categorical_crossentropy.html \"TensorFlow函数教程：tf.keras.backend.categorical_crossentropy\")\n             18. [clear\\_session](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_clear_session.html \"TensorFlow函数教程：tf.keras.backend.clear_session\")\n             19. [clip](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_clip.html \"TensorFlow函数教程：tf.keras.backend.clip\")\n             20. [concatenate](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_concatenate.html \"TensorFlow函数教程：tf.keras.backend.concatenate\")\n             21. [constant](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_constant.html \"TensorFlow函数教程：tf.keras.backend.constant\")\n             22. [conv1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv1d.html \"TensorFlow函数教程：tf.keras.backend.conv1d\")\n             23. [conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv2d.html \"TensorFlow函数教程：tf.keras.backend.conv2d\")\n             24. [conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv2d_transpose.html \"TensorFlow函数教程：tf.keras.backend.conv2d_transpose\")\n             25. [conv3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_conv3d.html \"TensorFlow函数教程：tf.keras.backend.conv3d\")\n             26. [cos](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_cos.html \"TensorFlow函数教程：tf.keras.backend.cos\")\n             27. [count\\_params](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_count_params.html \"TensorFlow函数教程：tf.keras.backend.count_params\")\n             28. [ctc\\_batch\\_cost](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ctc_batch_cost.html \"TensorFlow函数教程：tf.keras.backend.ctc_batch_cost\")\n             29. [ctc\\_decode](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ctc_decode.html \"TensorFlow函数教程：tf.keras.backend.ctc_decode\")\n             30. [ctc\\_label\\_dense\\_to\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ctc_label_dense_to_sparse.html \"TensorFlow函数教程：tf.keras.backend.ctc_label_dense_to_sparse\")\n             31. [dot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_dot.html \"TensorFlow函数教程：tf.keras.backend.dot\")\n             32. [dropout](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_dropout.html \"TensorFlow函数教程：tf.keras.backend.dropout\")\n             33. [dtype](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_dtype.html \"TensorFlow函数教程：tf.keras.backend.dtype\")\n             34. [elu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_elu.html \"TensorFlow函数教程：tf.keras.backend.elu\")\n             35. [epsilon](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_epsilon.html \"TensorFlow函数教程：tf.keras.backend.epsilon\")\n             36. [equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_equal.html \"TensorFlow函数教程：tf.keras.backend.equal\")\n             37. [eval](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_eval.html \"TensorFlow函数教程：tf.keras.backend.eval\")\n             38. [exp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_exp.html \"TensorFlow函数教程：tf.keras.backend.exp\")\n             39. [expand\\_dims](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_expand_dims.html \"TensorFlow函数教程：tf.keras.backend.expand_dims\")\n             40. [eye](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_eye.html \"TensorFlow函数教程：tf.keras.backend.eye\")\n             41. [flatten](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_flatten.html \"TensorFlow函数教程：tf.keras.backend.flatten\")\n             42. [floatx](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_floatx.html \"TensorFlow函数教程：tf.keras.backend.floatx\")\n             43. [foldl](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_foldl.html \"TensorFlow函数教程：tf.keras.backend.foldl\")\n             44. [foldr](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_foldr.html \"TensorFlow函数教程：tf.keras.backend.foldr\")\n             45. [function](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_function.html \"TensorFlow函数教程：tf.keras.backend.function\")\n             46. [gather](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_gather.html \"TensorFlow函数教程：tf.keras.backend.gather\")\n             47. [get\\_session](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_get_session.html \"TensorFlow函数教程：tf.keras.backend.get_session\")\n             48. [get\\_uid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_get_uid.html \"TensorFlow函数教程：tf.keras.backend.get_uid\")\n             49. [get\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_get_value.html \"TensorFlow函数教程：tf.keras.backend.get_value\")\n             50. [gradients](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_gradients.html \"TensorFlow函数教程：tf.keras.backend.gradients\")\n             51. [greater](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_greater.html \"TensorFlow函数教程：tf.keras.backend.greater\")\n             52. [greater\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_greater_equal.html \"TensorFlow函数教程：tf.keras.backend.greater_equal\")\n             53. [hard\\_sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_hard_sigmoid.html \"TensorFlow函数教程：tf.keras.backend.hard_sigmoid\")\n             54. [image\\_data\\_format](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_image_data_format.html \"TensorFlow函数教程：tf.keras.backend.image_data_format\")\n             55. [int\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_int_shape.html \"TensorFlow函数教程：tf.keras.backend.int_shape\")\n             56. [in\\_test\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_in_test_phase.html \"TensorFlow函数教程：tf.keras.backend.in_test_phase\")\n             57. [in\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_in_top_k.html \"TensorFlow函数教程：tf.keras.backend.in_top_k\")\n             58. [in\\_train\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_in_train_phase.html \"TensorFlow函数教程：tf.keras.backend.in_train_phase\")\n             59. [is\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_is_sparse.html \"TensorFlow函数教程：tf.keras.backend.is_sparse\")\n             60. [l2\\_normalize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_l2_normalize.html \"TensorFlow函数教程：tf.keras.backend.l2_normalize\")\n             61. [learning\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_learning_phase.html \"TensorFlow函数教程：tf.keras.backend.learning_phase\")\n             62. [less](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_less.html \"TensorFlow函数教程：tf.keras.backend.less\")\n             63. [less\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_less_equal.html \"TensorFlow函数教程：tf.keras.backend.less_equal\")\n             64. [log](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_log.html \"TensorFlow函数教程：tf.keras.backend.log\")\n             65. [manual\\_variable\\_initialization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_manual_variable_initialization.html \"TensorFlow函数教程：tf.keras.backend.manual_variable_initialization\")\n             66. [map\\_fn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_map_fn.html \"TensorFlow函数教程：tf.keras.backend.map_fn\")\n             67. [max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_max.html \"TensorFlow函数教程：tf.keras.backend.max\")\n             68. [maximum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_maximum.html \"TensorFlow函数教程：tf.keras.backend.maximum\")\n             69. [mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_mean.html \"TensorFlow函数教程：tf.keras.backend.meantf.keras.backend.mean\")\n             70. [min](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_min.html \"TensorFlow函数教程：tf.keras.backend.min\")\n             71. [minimum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_minimum.html \"TensorFlow函数教程：tf.keras.backend.minimum\")\n             72. [moving\\_average\\_update](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_moving_average_update.html \"TensorFlow函数教程：tf.keras.backend.moving_average_update\")\n             73. [ndim](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ndim.html \"TensorFlow函数教程：tf.keras.backend.ndim\")\n             74. [normalize\\_batch\\_in\\_training](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_normalize_batch_in_training.html \"TensorFlow函数教程：tf.keras.backend.normalize_batch_in_training\")\n             75. [not\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_not_equal.html \"TensorFlow函数教程：tf.keras.backend.not_equal\")\n             76. [ones](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ones.html \"TensorFlow函数教程：tf.keras.backend.ones\")\n             77. [ones\\_like](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_ones_like.html \"TensorFlow函数教程：tf.keras.backend.ones_like\")\n             78. [one\\_hot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_one_hot.html \"TensorFlow函数教程：tf.keras.backend.one_hot\")\n             79. [permute\\_dimensions](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_permute_dimensions.html \"TensorFlow函数教程：tf.keras.backend.permute_dimensions\")\n             80. [placeholder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_placeholder.html \"TensorFlow函数教程：tf.keras.backend.placeholder\")\n             81. [pool2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_pool2d.html \"TensorFlow函数教程：tf.keras.backend.pool2d\")\n             82. [pool3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_pool3d.html \"TensorFlow函数教程：tf.keras.backend.pool3d\")\n             83. [pow](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_pow.html \"TensorFlow函数教程：tf.keras.backend.pow\")\n             84. [print\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_print_tensor.html \"TensorFlow函数教程：tf.keras.backend.print_tensor\")\n             85. [prod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_prod.html \"TensorFlow函数教程：tf.keras.backend.prod\")\n             86. [random\\_binomial](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_binomial.html \"TensorFlow函数教程：tf.keras.backend.random_binomial\")\n             87. [random\\_normal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_normal.html \"TensorFlow函数教程：tf.keras.backend.random_normal\")\n             88. [random\\_normal\\_variable](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hwy730lx.html \"TensorFlow函数教程：tf.keras.backend.random_normal_variable\")\n             89. [random\\_uniform](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_uniform.html \"TensorFlow函数教程：tf.keras.backend.random_uniform\")\n             90. [random\\_uniform\\_variable](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_random_uniform_variable.html \"TensorFlow函数教程：tf.keras.backend.random_uniform_variable\")\n             91. [relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_relu.html \"TensorFlow函数教程：tf.keras.backend.relu\")\n             92. [repeat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_repeat.html \"TensorFlow函数教程：tf.keras.backend.repeat\")\n             93. [repeat\\_elements](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_repeat_elements.html \"TensorFlow函数教程：tf.keras.backend.repeat_elements\")\n             94. [reset\\_uids](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_reset_uids.html \"TensorFlow函数教程：tf.keras.backend.reset_uids\")\n             95. [reshape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_reshape.html \"TensorFlow函数教程：tf.keras.backend.reshape\")\n             96. [resize\\_images](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_resize_images.html \"TensorFlow函数教程：tf.keras.backend.resize_images\")\n             97. [resize\\_volumes](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_resize_volumes.html \"TensorFlow函数教程：tf.keras.backend.resize_volumes\")\n             98. [reverse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_reverse.html \"TensorFlow函数教程：tf.keras.backend.reverse\")\n             99. [rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_rnn.html \"TensorFlow函数教程：tf.keras.backend.rnn\")\n             100. [round](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_round.html \"TensorFlow函数教程：tf.keras.backend.round\")\n             101. [separable\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_separable_conv2d.html \"TensorFlow函数教程：tf.keras.backend.separable_conv2d\")\n             102. [set\\_epsilon](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_epsilon.html \"TensorFlow函数教程：tf.keras.backend.set_epsilon\")\n             103. [set\\_floatx](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_floatx.html \"TensorFlow函数教程：tf.keras.backend.set_floatx\")\n             104. [set\\_image\\_data\\_format](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_image_data_format.html \"TensorFlow函数教程：tf.keras.backend.set_image_data_format\")\n             105. [set\\_learning\\_phase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_learning_phase.html \"TensorFlow函数教程：tf.keras.backend.set_learning_phase\")\n             106. [set\\_session](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_session.html \"TensorFlow函数教程：tf.keras.backend.set_session\")\n             107. [set\\_value](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_set_value.html \"TensorFlow函数教程：tf.keras.backend.set_value\")\n             108. [shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_shape.html \"TensorFlow函数教程：tf.keras.backend.shape\")\n             109. [sigmoid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sigmoid.html \"TensorFlow函数教程：tf.keras.backend.sigmoid\")\n             110. [sign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sign.html \"TensorFlow函数教程：tf.keras.backend.sign\")\n             111. [sin](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rvm2319m.html \"TensorFlow函数教程：tf.keras.backend.sin\")\n             112. [softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aitj319n.html \"TensorFlow函数教程：tf.keras.backend.softmax\")\n             113. [softplus](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_softplus.html \"TensorFlow函数教程：tf.keras.backend.softplus\")\n             114. [softsign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_softsign.html \"TensorFlow函数教程：tf.keras.backend.softsign\")\n             115. [sparse\\_categorical\\_crossentropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sparse_categorical_crossentropy.html \"TensorFlow函数教程：tf.keras.backend.sparse_categorical_crossentropy\")\n             116. [spatial\\_2d\\_padding](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_spatial_2d_padding.html \"TensorFlow函数教程：tf.keras.backend.spatial_2d_padding\")\n             117. [spatial\\_3d\\_padding](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_spatial_3d_padding.html \"TensorFlow函数教程：tf.keras.backend.spatial_3d_padding\")\n             118. [sqrt](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_sqrt.html \"TensorFlow函数教程：tf.keras.backend.sqrt\")\n             119. [square](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_square.html \"TensorFlow函数教程：tf.keras.backend.square\")\n             120. [squeeze](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_squeeze.html \"TensorFlow函数教程：tf.keras.backend.squeeze\")\n             121. [stack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_stack.html \"TensorFlow函数教程：tf.keras.backend.stack\")\n             122. [std](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_std.html \"TensorFlow函数教程：tf.keras.backend.std\")\n             123. [stop\\_gradient](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_backend_stop_gradient.html \"TensorFlow函数教程：tf.keras.backend.stop_gradient\")\n          6. [callbacks](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks.html \"TensorFlow回调函数：tf.keras.callbacks\")\n             1. [BaseLogger](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_BaseLogger.html \"TensorFlow回调函数：tf.keras.callbacks.BaseLogger\")\n             2. [Callback](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_Callback.html \"TensorFlow回调函数：tf.keras.callbacks.Callback\")\n             3. [CSVLogger](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_CSVLogger.html \"TensorFlow回调函数：tf.keras.callbacks.CSVLogger\")\n             4. [EarlyStopping](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_EarlyStopping.html \"TensorFlow函数教程：tf.keras.callbacks.EarlyStopping\")\n             5. [History](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5l7y30rc.html \"TensorFlow回调函数：tf.keras.callbacks.History\")\n             6. [LambdaCallback](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_LambdaCallback.html \"TensorFlow回调函数：tf.keras.callbacks.LambdaCallback\")\n             7. [LearningRateScheduler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_LearningRateScheduler.html \"TensorFlow回调函数：tf.keras.callbacks.LearningRateScheduler\")\n             8. [ModelCheckpoint](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_ModelCheckpoint.html \"TensorFlow回调函数：tf.keras.callbacks.ModelCheckpoint\")\n             9. [ProgbarLogger](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_ProgbarLogger.html \"TensorFlow回调函数：tf.keras.callbacks.ProgbarLogger\")\n             10. [ReduceLROnPlateau](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_ReduceLROnPlateau.html \"TensorFlow回调函数：tf.keras.callbacks.ReduceLROnPlateau\")\n             11. [RemoteMonitor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_RemoteMonitor.html \"TensorFlow回调函数：tf.keras.callbacks.RemoteMonitor\")\n             12. [TensorBoard](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_TensorBoard.html \"TensorFlow回调函数：tf.keras.callbacks.TensorBoard\")\n             13. [TerminateOnNaN](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_keras_callbacks_TerminateOnNaN.html \"TensorFlow回调函数：tf.keras.callbacks.TerminateOnNaN\")\n      13. [TensorFlow使用之tf.layers](\"TensorFlow使用之tf.layers\")\n          1. [TensorFlow模块：tf.layers](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-59ay2s9i.html \"TensorFlow模块：tf.layers\")\n          2. [TensorFlow函数：tf.layers.AveragePooling1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-urdf2sbx.html \"TensorFlow函数：tf.layers.AveragePooling1D\")\n          3. [TensorFlow函数：tf.layers.AveragePooling2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gylv2sh9.html \"TensorFlow函数：tf.layers.AveragePooling2D\")\n          4. [TensorFlow函数：tf.layers.AveragePooling3D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ctf72spr.html \"TensorFlow函数：tf.layers.AveragePooling3D\")\n          5. [TensorFlow函数：tf.layers.average\\_pooling1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9vac2sn1.html \"TensorFlow函数：tf.layers.average_pooling1d\")\n          6. [TensorFlow函数：tf.layers.average\\_pooling2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n5g92sn2.html \"TensorFlow函数：tf.layers.average_pooling2d\")\n          7. [TensorFlow函数：tf.layers.average\\_pooling3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6ftn2ssw.html \"TensorFlow函数：tf.layers.average_pooling3d\")\n          8. [TensorFlow函数：tf.layers.batch\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-13p92sws.html \"TensorFlow函数：tf.layers.batch_normalization\")\n          9. [TensorFlow函数：tf.layers.Conv1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-283f2t0b.html \"TensorFlow函数：tf.layers.Conv1D\")\n          10. [TensorFlow函数：tf.layers.Conv2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p6qw2t3y.html \"TensorFlow函数：tf.layers.Conv2D\")\n          11. [TensorFlow函数：tf.layers.Conv2DTranspose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wfg62t8h.html \"TensorFlow函数：tf.layers.Conv2DTranspose\")\n          12. [TensorFlow函数：tf.layers.conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z2xe2sk5.html \"TensorFlow函数：tf.layers.conv2d_transpose\")\n          13. [TensorFlow函数：tf.layers.Conv3D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nmqk2tgg.html \"TensorFlow函数：tf.layers.Conv3D\")\n          14. [TensorFlow函数：tf.layers.conv3d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hzky2swu.html \"TensorFlow函数：tf.layers.conv3d_transpose\")\n          15. [TensorFlow函数：tf.layers.InputSpec](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yq9h2tcv.html \"TensorFlow函数：tf.layers.InputSpec\")\n          16. [TensorFlow函数：tf.layers.Conv3DTranspose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g9yf2tlo.html \"TensorFlow函数：tf.layers.Conv3DTranspose\")\n          17. [TensorFlow函数：tf.layers.Dense](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rn6a2tps.html \"TensorFlow函数：tf.layers.Dense\")\n          18. [TensorFlow函数：tf.layers.Dropout](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7pne2tsr.html \"TensorFlow函数：tf.layers.Dropout\")\n          19. [TensorFlow函数：tf.layers.Flatten](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dw3m2twu.html \"TensorFlow函数：tf.layers.Flatten\")\n          20. [TensorFlow函数：tf.layers.Layer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hlym2u18.html \"TensorFlow函数：tf.layers.Layer\")\n          21. [TensorFlow函数：tf.layers.MaxPooling1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nwol2uyr.html \"TensorFlow函数：tf.layers.MaxPooling1D\")\n          22. [TensorFlow函数：tf.layers.MaxPooling2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ycgz2v16.html \"TensorFlow函数：tf.layers.MaxPooling2D\")\n          23. [TensorFlow函数：tf.layers.MaxPooling3D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ef6g2v4j.html \"TensorFlow函数：tf.layers.MaxPooling3D\")\n          24. [TensorFlow函数：tf.layers.max\\_pooling1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-skct2u4z.html \"TensorFlow函数：tf.layers.max_pooling1d\")\n          25. [TensorFlow函数：tf.layers.max\\_pooling2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j4ni2u54.html \"TensorFlow函数：tf.layers.max_pooling2d\")\n          26. [TensorFlow函数：tf.layers.max\\_pooling3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6hbw2u9w.html \"TensorFlow函数：tf.layers.max_pooling3d\")\n          27. [TensorFlow函数：tf.layers.SeparableConv1D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hpby2uee.html \"TensorFlow函数：tf.layers.SeparableConv1D\")\n          28. [TensorFlow函数：tf.layers.SeparableConv2D](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tsoq2uia.html \"TensorFlow函数：tf.layers.SeparableConv2D\")\n          29. [TensorFlow函数：tf.layers.separable\\_conv1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4fdm2umu.html \"TensorFlow函数：tf.layers.separable_conv1d\")\n          30. [TensorFlow函数：tf.layers.separable\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5d1u2ur5.html \"TensorFlow函数：tf.layers.separable_conv2d\")\n          31. [TensorFlow函数：tf.layers.BatchNormalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s9w62v9e.html \"TensorFlow函数：tf.layers.BatchNormalization\")\n      14. [TensorFlow使用之Python\/tf.linalg](\"TensorFlow使用之Python\/tf.linalg\")\n          1. [TensorFlow模块：tf.linalg](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pcx62vdu.html \"TensorFlow模块：tf.linalg\")\n          2. [TensorFlow函数：tf.linalg.adjoint](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ej832ve7.html \"TensorFlow函数：tf.linalg.adjoint\")\n          3. [TensorFlow函数：tf.linalg.expm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-oh8z2vh5.html \"TensorFlow函数：tf.linalg.expm\")\n          4. [TensorFlow函数：tf.linalg.logdet](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ljeo2vkt.html \"TensorFlow函数：tf.linalg.logdet\")\n          5. [TensorFlow函数：tf.linalg.logm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-649l2vnj.html \"TensorFlow函数：tf.linalg.logm\")\n          6. [TensorFlow函数：tf.linalg.slogdet](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9tch2vnk.html \"TensorFlow函数：tf.linalg.slogdet\")\n          7. [TensorFlow函数：tf.linalg.LinearOperator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cfyd2vro.html \"TensorFlow函数：tf.linalg.LinearOperator\")\n      15. [TensorFlow使用之tf.logging](\"TensorFlow使用之tf.logging\")\n          1. [TensorFlow模块：tf.logging](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2s9x2w1v.html \"TensorFlow模块：tf.logging\")\n          2. [TensorFlow函数：tf.logging.debug](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-18li2w8a.html \"TensorFlow函数：tf.logging.debug\")\n          3. [TensorFlow函数：tf.logging.error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-su1d2w8b.html \"TensorFlow函数：tf.logging.error\")\n          4. [TensorFlow函数：tf.logging.fatal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-djo72w8c.html \"TensorFlow函数：tf.logging.fatal\")\n          5. [TensorFlow函数：tf.logging.flush](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4fvn2wbw.html \"TensorFlow函数：tf.logging.flush\")\n          6. [TensorFlow函数：tf.logging.get\\_verbosity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h8xe2wby.html \"TensorFlow函数：tf.logging.get_verbosity\")\n          7. [TensorFlow函数：tf.logging.info](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5fdi2wbz.html \"TensorFlow函数：tf.logging.info\")\n          8. [TensorFlow函数：tf.logging.log](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-csdb2wc0.html \"TensorFlow函数：tf.logging.log\")\n          9. [TensorFlow函数：tf.logging.log\\_every\\_n](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ve5f2wc2.html \"TensorFlow函数：tf.logging.log_every_n\")\n          10. [TensorFlow函数：tf.logging.log\\_first\\_n](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sk182wf5.html \"TensorFlow函数：tf.logging.log_first_n\")\n          11. [TensorFlow函数：tf.logging.log\\_if](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4tym2wf7.html \"TensorFlow函数：tf.logging.log_if\")\n          12. [TensorFlow函数：tf.logging.set\\_verbosity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nfws2wiq.html \"TensorFlow函数：tf.logging.set_verbosity\")\n          13. [TensorFlow函数：tf.logging.TaskLevelStatusMessage](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lwdp2wir.html \"TensorFlow函数：tf.logging.TaskLevelStatusMessage\")\n          14. [TensorFlow函数：tf.logging.vlog](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6vkl2wis.html \"TensorFlow函数：tf.logging.vlog\")\n          15. [TensorFlow函数：tf.logging.warn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n1wc2wit.html \"TensorFlow函数：tf.logging.warn\")\n          16. [TensorFlow函数：tf.logging.warning](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-217a2wiu.html \"TensorFlow函数：tf.logging.warning\")\n      16. [TensorFlow使用之tf.losses](\"TensorFlow使用之tf.losses\")\n          1. [TensorFlow模块：tf.losses](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2pms2wkq.html \"TensorFlow模块：tf.losses\")\n          2. [TensorFlow函数：tf.losses.absolute\\_difference](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q5rw2wkt.html \"TensorFlow函数：tf.losses.absolute_difference\")\n          3. [TensorFlow函数：tf.losses.add\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-emay2wmr.html \"TensorFlow函数：tf.losses.add_loss\")\n          4. [TensorFlow函数：tf.losses.compute\\_weighted\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rbjl2wms.html \"TensorFlow函数：tf.losses.compute_weighted_loss\")\n          5. [TensorFlow函数：tf.losses.cosine\\_distance](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wuh22wqk.html \"TensorFlow函数：tf.losses.cosine_distance\")\n          6. [TensorFlow函数：tf.losses.get\\_losses](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lvgw2wqn.html \"TensorFlow函数：tf.losses.get_losses\")\n          7. [TensorFlow函数：tf.losses.get\\_regularization\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lqif2wtw.html \"TensorFlow函数：tf.losses.get_regularization_loss\")\n          8. [TensorFlow函数：tf.losses.get\\_regularization\\_losses](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-knft2wtx.html \"TensorFlow函数：tf.losses.get_regularization_losses\")\n          9. [TensorFlow函数：tf.losses.get\\_total\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cz5s2wwd.html \"TensorFlow函数：tf.losses.get_total_loss\")\n          10. [TensorFlow函数：tf.losses.hinge\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tnbj2wyg.html \"TensorFlow函数：tf.losses.hinge_loss\")\n          11. [TensorFlow函数：tf.losses.huber\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2cbn2wyj.html \"TensorFlow函数：tf.losses.huber_loss\")\n          12. [TensorFlow函数：tf.losses.log\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-14tm2x16.html \"TensorFlow函数：tf.losses.log_loss\")\n          13. [TensorFlow函数：tf.losses.mean\\_pairwise\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f9u82x7n.html \"TensorFlow函数：tf.losses.mean_pairwise_squared_error\")\n          14. [TensorFlow函数：tf.losses.mean\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zkxr2x87.html \"TensorFlow函数：tf.losses.mean_squared_error\")\n          15. [TensorFlow函数：tf.losses.Reduction](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-klgu2xrk.html \"TensorFlow函数：tf.losses.Reduction\")\n          16. [TensorFlow函数：tf.losses.sigmoid\\_cross\\_entropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hdfb2xtv.html \"TensorFlow函数：tf.losses.sigmoid_cross_entropy\")\n          17. [TensorFlow函数：tf.losses.softmax\\_cross\\_entropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hrga2y89.html \"TensorFlow函数：tf.losses.softmax_cross_entropy\")\n          18. [TensorFlow函数：tf.losses.sparse\\_softmax\\_cross\\_entropy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uh2n2y8b.html \"TensorFlow函数：tf.losses.sparse_softmax_cross_entropy\")\n      17. [TensorFlow使用之tf.math](\"TensorFlow使用之tf.math\")\n          1. [TensorFlow模块：tf.math](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aced2ycp.html \"TensorFlow模块：tf.math\")\n          2. [TensorFlow函数：tf.math.polyval](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7kh12yd1.html \"TensorFlow函数：tf.math.polyval\")\n      18. [TensorFlow使用之tf.metrics](\"TensorFlow使用之tf.metrics\")\n          1. [TensorFlow模块：tf.metrics](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ke8y2yhg.html \"TensorFlow模块：tf.metrics\")\n          2. [TensorFlow函数：tf.metrics.accuracy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7tus2yhp.html \"TensorFlow函数：tf.metrics.accuracy\")\n          3. [TensorFlow函数：tf.metrics.auc](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mct22yk9.html \"TensorFlow函数：tf.metrics.auc\")\n          4. [TensorFlow函数：tf.metrics.average\\_precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lajz2yop.html \"TensorFlow函数：tf.metrics.average_precision_at_k\")\n          5. [TensorFlow函数：tf.metrics.false\\_negatives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5xz62yrm.html \"TensorFlow函数：tf.metrics.false_negatives\")\n          6. [TensorFlow函数：tf.metrics.false\\_negatives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-68ez2yun.html \"TensorFlow函数：tf.metrics.false_negatives_at_thresholds\")\n          7. [TensorFlow函数：tf.metrics.false\\_positives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wi562yxa.html \"TensorFlow函数：tf.metrics.false_positives\")\n          8. [TensorFlow函数：tf.metrics.false\\_positives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o2d92z0l.html \"TensorFlow函数：tf.metrics.false_positives_at_thresholds\")\n          9. [TensorFlow函数：tf.metrics.mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rwlo2z1r.html \"TensorFlow函数：tf.metrics.mean\")\n          10. [TensorFlow函数：tf.metrics.mean\\_absolute\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-iftl2z24.html \"TensorFlow函数：tf.metrics.mean_absolute_error\")\n          11. [TensorFlow函数：tf.metrics.mean\\_cosine\\_distance](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1mu62z2a.html \"TensorFlow函数：tf.metrics.mean_cosine_distance\")\n          12. [TensorFlow函数：tf.metrics.mean\\_iou](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ujb12z2k.html \"TensorFlow函数：tf.metrics.mean_iou\")\n          13. [TensorFlow函数：tf.metrics.mean\\_per\\_class\\_accuracy](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4dfk2z2p.html \"TensorFlow函数：tf.metrics.mean_per_class_accuracy\")\n          14. [TensorFlow函数：tf.metrics.mean\\_relative\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6zke2z31.html \"TensorFlow函数：tf.metrics.mean_relative_error\")\n          15. [TensorFlow函数：tf.metrics.mean\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9sfy2z32.html \"TensorFlow函数：tf.metrics.mean_squared_error\")\n          16. [TensorFlow函数：tf.metrics.mean\\_tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-t5zg2z33.html \"TensorFlow函数：tf.metrics.mean_tensor\")\n          17. [TensorFlow函数：tf.metrics.percentage\\_below](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q6cj2z3y.html \"TensorFlow函数：tf.metrics.percentage_below\")\n          18. [TensorFlow函数：tf.metrics.precision](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pmdi2z4d.html \"TensorFlow函数：tf.metrics.precision\")\n          19. [TensorFlow函数：tf.metrics.precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fk9n2z4r.html \"TensorFlow函数：tf.metrics.precision_at_k\")\n          20. [TensorFlow函数：tf.metrics.precision\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4x6s2z4s.html \"TensorFlow函数：tf.metrics.precision_at_thresholds\")\n          21. [TensorFlow函数：tf.metrics.precision\\_at\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ovlp2z71.html \"TensorFlow函数：tf.metrics.precision_at_top_k\")\n          22. [TensorFlow函数：tf.metrics.recall](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7nev2z7u.html \"TensorFlow函数：tf.metrics.recall\")\n          23. [TensorFlow函数：tf.metrics.recall\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-k8fa2z7v.html \"TensorFlow函数：tf.metrics.recall_at_k\")\n          24. [TensorFlow函数：tf.metrics.recall\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kn9h2z85.html \"TensorFlow函数：tf.metrics.recall_at_thresholds\")\n          25. [TensorFlow函数：tf.metrics.recall\\_at\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-a8ur2z86.html \"TensorFlow函数：tf.metrics.recall_at_top_k\")\n          26. [TensorFlow函数：tf.metrics.root\\_mean\\_squared\\_error](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-15ev2z8o.html \"TensorFlow函数：tf.metrics.root_mean_squared_error\")\n          27. [TensorFlow函数：tf.metrics.sensitivity\\_at\\_specificity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5t192z96.html \"TensorFlow函数：tf.metrics.sensitivity_at_specificity\")\n          28. [TensorFlow函数：tf.metrics.sparse\\_average\\_precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nu6d2z9f.html \"TensorFlow函数：tf.metrics.sparse_average_precision_at_k\")\n          29. [TensorFlow函数：tf.metrics.sparse\\_precision\\_at\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-r79f2z9h.html \"TensorFlow函数：tf.metrics.sparse_precision_at_k\")\n          30. [TensorFlow函数：tf.metrics.specificity\\_at\\_sensitivity](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h3v12zap.html \"TensorFlow函数：tf.metrics.specificity_at_sensitivity\")\n          31. [TensorFlow函数：tf.metrics.true\\_negatives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p93f2zb0.html \"TensorFlow函数：tf.metrics.true_negatives\")\n          32. [TensorFlow函数：tf.metrics.true\\_negatives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-of6n2zdn.html \"TensorFlow函数：tf.metrics.true_negatives_at_thresholds\")\n          33. [TensorFlow函数：tf.metrics.true\\_positives](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-547k2zdo.html \"TensorFlow函数：tf.metrics.true_positives\")\n          34. [TensorFlow函数：tf.metrics.true\\_positives\\_at\\_thresholds](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jefs2zfa.html \"TensorFlow函数：tf.metrics.true_positives_at_thresholds\")\n      19. [TensorFlow使用之tf.manip](\"TensorFlow使用之tf.manip\")\n          1. [TensorFlow模块：tf.manip](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ow42yal.html \"TensorFlow模块：tf.manip\")\n          2. [TensorFlow函数：tf.manip.roll](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2k8u2yam.html \"TensorFlow函数：tf.manip.roll\")\n      20. [TensorFlow使用之tf.nn](\"TensorFlow使用之tf.nn\")\n          1. [tf.nn概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fjqh2zgc.html \"TensorFlow模块：tf.nn\")\n          2. [all\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1wu62zh8.html \"TensorFlow函数：tf.nn.all_candidate_sampler\")\n          3. [atrous\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_atrous_conv2d.html \"TensorFlow函数：tf.nn.atrous_conv2d\")\n          4. [atrous\\_conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_atrous_conv2d_transpose.html \"TensorFlow函数：tf.nn.atrous_conv2d_transpose\")\n          5. [avg\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_avg_pool.html \"TensorFlow函数：tf.nn.avg_pool\")\n          6. [avg\\_pool3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_avg_pool3d.html \"TensorFlow函数：tf.nn.avg_pool3d\")\n          7. [batch\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_batch_normalization.html \"TensorFlow函数：tf.nn.batch_normalization\")\n          8. [batch\\_norm\\_with\\_global\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_batch_norm_with_global_normalization.html \"TensorFlow函数：tf.nn.batch_norm_with_global_normalization\")\n          9. [bias\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_bias_add.html \"TensorFlow函数：tf.nn.bias_add\")\n          10. [bidirectional\\_dynamic\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_bidirectional_dynamic_rnn.html \"TensorFlow函数：tf.nn.bidirectional_dynamic_rnn\")\n          11. [compute\\_accidental\\_hits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_compute_accidental_hits.html \"TensorFlow函数：tf.nn.compute_accidental_hits\")\n          12. [conv1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv1d.html \"TensorFlow函数：tf.nn.conv1d\")\n          13. [conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d.html \"TensorFlow函数：tf.nn.conv2d\")\n          14. [conv2d\\_backprop\\_filter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d_backprop_filter.html \"TensorFlow函数：tf.nn.conv2d_backprop_filter\")\n          15. [conv2d\\_backprop\\_input](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d_backprop_input.html \"TensorFlow函数：tf.nn.conv2d_backprop_input\")\n          16. [conv2d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv2d_transpose.html \"TensorFlow函数：tf.nn.conv2d_transpose\")\n          17. [conv3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv3d.html \"TensorFlow函数教程：tf.nn.conv3d\")\n          18. [conv3d\\_backprop\\_filter\\_v2](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv3d_backprop_filter_v2.html \"TensorFlow函数教程：tf.nn.conv3d_backprop_filter_v2\")\n          19. [conv3d\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_conv3d_transpose.html \"TensorFlow函数教程：tf.nn.conv3d_transpose\")\n          20. [convolution](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_convolution.html \"TensorFlow函数教程：tf.nn.convolution\")\n          21. [crelu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_crelu.html \"TensorFlow函数教程：tf.nn.crelu\")\n          22. [ctc\\_beam\\_search\\_decoder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_ctc_beam_search_decoder.html \"TensorFlow函数教程：tf.nn.ctc_beam_search_decoder\")\n          23. [ctc\\_greedy\\_decoder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_ctc_greedy_decoder.html \"TensorFlow函数教程：tf.nn.ctc_greedy_decoder\")\n          24. [ctc\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_ctc_loss.html \"TensorFlow函数教程：tf.nn.ctc_loss\")\n          25. [depthwise\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d\")\n          26. [depthwise\\_conv2d\\_native](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d_native.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d_native\")\n          27. [depthwise\\_conv2d\\_native\\_backprop\\_filter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d_native_backprop_filter.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_filter\")\n          28. [depthwise\\_conv2d\\_native\\_backprop\\_input](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_depthwise_conv2d_native_backprop_input.html \"TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_input\")\n          29. [dilation2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_dilation2d.html \"TensorFlow函数教程：tf.nn.dilation2d\")\n          30. [dropout](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_dropout.html \"TensorFlow函数教程：tf.nn.dropout\")\n          31. [dynamic\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_dynamic_rnn.html \"TensorFlow函数教程：tf.nn.dynamic_rnn\")\n          32. [elu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_elu.html \"TensorFlow函数教程：tf.nn.elu\")\n          33. [embedding\\_lookup](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_embedding_lookup.html \"TensorFlow函数教程：tf.nn.embedding_lookup\")\n          34. [embedding\\_lookup\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_embedding_lookup_sparse.html \"TensorFlow函数教程：tf.nn.embedding_lookup_sparse\")\n          35. [erosion2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_erosion2d.html \"TensorFlow函数教程：tf.nn.erosion2d\")\n          36. [fixed\\_unigram\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fixed_unigram_candidate_sampler.html \"TensorFlow函数教程：tf.nn.fixed_unigram_candidate_sampler\")\n          37. [fractional\\_avg\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fractional_avg_pool.html \"TensorFlow函数教程：tf.nn.fractional_avg_pool\")\n          38. [fractional\\_max\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fractional_max_pool.html \"TensorFlow函数教程： tf.nn.fractional_max_pool\")\n          39. [fused\\_batch\\_norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_fused_batch_norm.html \"TensorFlow函数教程：tf.nn.fused_batch_norm\")\n          40. [in\\_top\\_k](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_in_top_k.html \"TensorFlow函数教程：tf.nn.in_top_k\")\n          41. [l2\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_l2_loss.html \"TensorFlow函数教程：tf.nn.l2_loss\")\n          42. [l2\\_normalize](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_l2_normalize.html \"TensorFlow函数教程：tf.nn.l2_normalize\")\n          43. [leaky\\_relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_leaky_relu.html \"TensorFlow函数教程：tf.nn.leaky_relu\")\n          44. [learned\\_unigram\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_learned_unigram_candidate_sampler.html \"TensorFlow函数教程：tf.nn.learned_unigram_candidate_sampler\")\n          45. [local\\_response\\_normalization](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_local_response_normalization.html \"TensorFlow函数教程：tf.nn.local_response_normalization\")\n          46. [log\\_poisson\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_log_poisson_loss.html \"TensorFlow函数教程：tf.nn.log_poisson_loss\")\n          47. [log\\_softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_log_softmax.html \"TensorFlow函数教程：tf.nn.log_softmax\")\n          48. [log\\_uniform\\_candidate\\_sampler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_log_uniform_candidate_sampler.html \"TensorFlow函数教程：tf.nn.log_uniform_candidate_sampler\")\n          49. [max\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_max_pool.html \"TensorFlow函数教程：tf.nn.max_pool\")\n          50. [max\\_pool3d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_max_pool3d.html \"TensorFlow函数教程：tf.nn.max_pool3d\")\n          51. [max\\_pool\\_with\\_argmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_max_pool_with_argmax.html \"TensorFlow函数教程：tf.nn.max_pool_with_argmax\")\n          52. [moments](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_moments.html \"TensorFlow函数教程：tf.nn.moments\")\n          53. [nce\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_nce_loss.html \"TensorFlow函数教程：tf.nn.nce_loss\")\n          54. [normalize\\_moments](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_normalize_moments.html \"TensorFlow函数教程：tf.nn.normalize_moments\")\n          55. [pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_pool.html \"TensorFlow函数教程：tf.nn.pool\")\n          56. [quantized\\_avg\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_avg_pool.html \"TensorFlow函数教程：tf.nn.quantized_avg_pool\")\n          57. [quantized\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_conv2d.html \"TensorFlow函数教程：tf.nn.quantized_conv2d\")\n          58. [quantized\\_max\\_pool](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_max_pool.html \"TensorFlow函数教程：tf.nn.quantized_max_pool\")\n          59. [quantized\\_relu\\_x](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_quantized_relu_x.html \"TensorFlow函数教程：tf.nn.quantized_relu_x\")\n          60. [relu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_relu.html \"TensorFlow函数教程：tf.nn.relu\")\n          61. [relu6](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_relu6.html \"TensorFlow函数教程：tf.nn.relu6\")\n          62. [relu\\_layer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l7i3300n.html \"TensorFlow函数教程：tf.nn.relu_layer\")\n          63. [selu](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_selu.html \"TensorFlow函数教程：tf.nn.selu\")\n          64. [separable\\_conv2d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_separable_conv2d.html \"TensorFlow函数教程：tf.nn.separable_conv2d\")\n          65. [sigmoid\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_sigmoid_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.sigmoid_cross_entropy_with_logits\")\n          66. [softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softmax.html \"TensorFlow函数教程：tf.nn.softmax\")\n          67. [softmax\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softmax_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits\")\n          68. [softmax\\_cross\\_entropy\\_with\\_logits\\_v2](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softmax_cross_entropy_with_logits_v2.html \"TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits_v2\")\n          69. [softsign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_softsign.html \"TensorFlow函数教程：tf.nn.softsign\")\n          70. [space\\_to\\_batch](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_space_to_batch.html \"TensorFlow函数教程：tf.nn.space_to_batch\")\n          71. [space\\_to\\_depth](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_space_to_depth.html \"TensorFlow函数教程：tf.nn.space_to_depth\")\n          72. [sparse\\_softmax\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_sparse_softmax_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.sparse_softmax_cross_entropy_with_logits\")\n          73. [static\\_bidirectional\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_static_bidirectional_rnn.html \"TensorFlow函数教程：tf.nn.static_bidirectional_rnn\")\n          74. [static\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_static_rnn.html \"TensorFlow函数教程：tf.nn.static_rnn\")\n          75. [static\\_state\\_saving\\_rnn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_static_state_saving_rnn.html \"TensorFlow函数教程：tf.nn.static_state_saving_rnn\")\n          76. [sufficient\\_statistics](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_sufficient_statistics.html \"TensorFlow函数教程：tf.nn.sufficient_statistics\")\n          77. [weighted\\_cross\\_entropy\\_with\\_logits](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_weighted_cross_entropy_with_logits.html \"TensorFlow函数教程：tf.nn.weighted_cross_entropy_with_logits\")\n          78. [weighted\\_moments](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_weighted_moments.html \"TensorFlow函数教程：tf.nn.weighted_moments\")\n          79. [with\\_space\\_to\\_batch](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-di2j3038.html \"TensorFlow函数教程：tf.nn.with_space_to_batch\")\n          80. [xw\\_plus\\_b](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_xw_plus_b.html \"TensorFlow函数教程：tf.nn.xw_plus_b\")\n      21. [TensorFlow使用之tf.profiler](\"TensorFlow使用之tf.profiler\")\n          1. [tf.profiler概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler.html \"tf.profiler概览\")\n          2. [AdviceProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_AdviceProto.html \"TensorFlow函数教程：tf.profiler.AdviceProto\")\n          3. [AdviceProto.Checker](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_AdviceProto_Checker.html \"TensorFlow函数教程：tf.profiler.AdviceProto.Checker\")\n          4. [AdviceProto.CheckersEntry](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_AdviceProto_CheckersEntry.html \"TensorFlow函数教程：tf.profiler.AdviceProto.CheckersEntry\")\n          5. [advise](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_advise.html \"TensorFlow函数教程：tf.profiler.advise\")\n          6. [GraphNodeProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_GraphNodeProto.html \"TensorFlow函数教程：tf.profiler.GraphNodeProto\")\n          7. [GraphNodeProto.InputShapesEntry](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_GraphNodeProto_InputShapesEntry.html \"TensorFlow函数教程：tf.profiler.GraphNodeProto.InputShapesEntry\")\n          8. [MultiGraphNodeProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_MultiGraphNodeProto.html \"TensorFlow函数教程：tf.profiler.MultiGraphNodeProto\")\n          9. [OpLogProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_OpLogProto.html \"TensorFlow函数教程：tf.profiler.OpLogProto\")\n          10. [OpLogProto.IdToStringEntry](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_OpLogProto_IdToStringEntry.html \"TensorFlow函数教程：tf.profiler.OpLogProto.IdToStringEntry\")\n          11. [profile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_profile.html \"TensorFlow函数教程：tf.profiler.profile\")\n          12. [ProfileOptionBuilder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_ProfileOptionBuilder.html \"TensorFlow函数教程：tf.profiler.ProfileOptionBuilder\")\n          13. [Profiler](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_Profiler.html \"TensorFlow函数教程：tf.profiler.Profiler\")\n          14. [write\\_op\\_log](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_profiler_write_op_log.html \"TensorFlow函数教程：tf.profiler.write_op_log\")\n      22. [TensorFlow使用之tf.python\\_io](\"TensorFlow使用之tf.python_io\")\n          1. [tf.python\\_io概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_python_io.html \"tf.python_io概览\")\n      23. [TensorFlow使用之tf.queue](\"TensorFlow使用之tf.queue\")\n          1. [PriorityQueue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_queue_PriorityQueue.html \"TensorFlow函数教程：tf.queue.PriorityQueue\")\n          2. [QueueBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_queue_QueueBase.html \"TensorFlow函数教程：tf.queue.QueueBase\")\n   2. [如何导出estimator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dp7q2dsj.html \"如何导出estimator\")\n      1. [TensorFlow解析Example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z75l2dsm.html \"TensorFlow解析Example\")\n      2. [TensorFlow分类头的输出设置](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fcra2dsr.html \"TensorFlow分类头的输出设置\")\n   3. [TensorFlow使用之tf.lite](\"TensorFlow使用之tf.lite\")\n      1. [tf.lite概览](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite.html \"TensorFlow模块：tf.lite\")\n      2. [Interpreter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_Interpreter.html \"TensorFlow函数教程：tf.lite.Interpreter\")\n      3. [OpHint](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_OpHint.html \"TensorFlow函数教程：tf.lite.OpHint\")\n      4. [OpHintArgumentTracker](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_OpHint_OpHintArgumentTracker.html \"TensorFlow函数教程：tf.lite.OpHint.OpHintArgumentTracker\")\n      5. [OpsSet](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_OpsSet.html \"TensorFlow函数教程：tf.lite.OpsSet\")\n      6. [TFLiteConverter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_TFLiteConverter.html \"TensorFlow函数教程：tf.lite.TFLiteConverter\")\n      7. [TocoConverter](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_TocoConverter.html \"TensorFlow函数教程：tf.lite.TocoConverter\")\n      8. [toco\\_convert](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_lite_toco_convert.html \"TensorFlow函数教程：tf.lite.toco_convert\")\n4. [TensorFlow 功能函数](\"TensorFlow 功能函数\")\n   1. [TensorFlow 计算张量的绝对值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u5a128yk.html \"TensorFlow 计算张量的绝对值\")\n   2. [TensorFlow 返回张量列表的元素和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hsfk2c80.html \"TensorFlow 返回张量列表的元素和\")\n   3. [TensorFlow 计算张量元素的 acos](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n6872c84.html \"TensorFlow 计算张量元素的 acos\")\n   4. [TensorFlow 计算张量的和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rgow2c85.html \"TensorFlow 计算张量的和\")\n   5. [TensorFlow check\\_numerics操作](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e1ou2c86.html \"TensorFlow  check_numerics操作\")\n   6. [TensorFlow 添加张量元素](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i6t32c87.html \"TensorFlow 添加张量元素\")\n   7. [TensorFlow 包装Graph.add\\_to](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g6s42c89.html \"TensorFlow 包装Graph.add_to\")\n   8. [TensorFlow 梯度组合](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w8a92c8a.html \"TensorFlow 梯度组合\")\n   9. [TensorFlow 返回张量的最大值索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lbm22c8b.html \"TensorFlow 返回张量的最大值索引\")\n   10. [TensorFlow 返回张量的最小值索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yzgj2c8d.html \"TensorFlow 返回张量的最小值索引\")\n   11. [TensorFlow 返回张量维度上最大值的索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ao4e2c8e.html \"TensorFlow 返回张量维度上最大值的索引\")\n   12. [TensorFlow 返回张量维度上最小值的索引](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tdjh2c8g.html \"TensorFlow 返回张量维度上最小值的索引\")\n   13. [TensorFlow 计算asin中的元素](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c6y32c8h.html \"TensorFlow 计算asin中的元素\")\n   14. [TensorFlow中Assert相关函数说明](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-69le2c8i.html \"TensorFlow中Assert相关函数说明\")\n   15. [TensorFlow中assign函数说明](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b4x72chd.html \"TensorFlow中assign函数说明\")\n   16. [TensorFlow 将给定的 type\\_value 转换为 DType](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p61j2ckb.html \"TensorFlow 将给定的 type_value 转换为 DType\")\n   17. [TensorFlow 将给定张量的条目转换为字符串](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mv3p2ckd.html \"TensorFlow 将给定张量的条目转换为字符串\")\n   18. [TensorFlow 计算元素的反正切](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4fnz2ckf.html \"TensorFlow 计算元素的反正切\")\n   19. [TensorFlow AttrValue类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4sdh2ckk.html \"TensorFlow AttrValue类\")\n   20. [TensorFlow BatchToSpace的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bnyg2ckl.html \"TensorFlow BatchToSpace的使用\")\n   21. [TensorFlow 计算正则化的不完全beta积分](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7v1x2cmg.html \"TensorFlow 计算正则化的不完全beta积分\")\n   22. [TensorFlow 计算整数数组值出现的次数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-peiz2cmo.html \"TensorFlow 计算整数数组值出现的次数\")\n   23. [TensorFlow 张量类型转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2t7u2cmq.html \"TensorFlow 张量类型转换\")\n   24. [TensorFlow 在张量上应用布尔掩码](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nvek2cmu.html \"TensorFlow 在张量上应用布尔掩码\")\n   25. [TensorFlow 返回广播形状](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ucpd2cnc.html \"TensorFlow 返回广播形状\")\n   26. [TensorFlow 创建case](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8wgl2co7.html \"TensorFlow 创建case\")\n   27. [TensorFlow 张量投射](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zfsn2coc.html \"TensorFlow 张量投射\")\n   28. [TensorFlow 使用ceil返回不下于x的最小整数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bqr32cto.html \"使用ceil返回不下于x的最小整数\")\n   29. [TensorFlow 检查NaN和Inf值的张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-dz6u2ctp.html \"TensorFlow检查NaN和Inf值的张量\")\n   30. [TensorFlow计算方阵的Cholesky分解](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o8592cut.html \"TensorFlow计算方阵的Cholesky分解\")\n   31. [将TensorFlow张量值剪辑到最大平均L2-norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5onx2cuu.html \"将TensorFlow张量值剪辑到最大平均L2-norm\")\n   32. [TensorFlow通过规范总和的比例剪切张量的值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1dmp2cx7.html \"TensorFlow通过规范总和的比例剪切张量的值\")\n   33. [TensorFlow 将张量值剪辑到最大 L2-norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jy7l2cx8.html \"将TensorFlow张量值剪辑到最大 L2-norm\")\n   34. [TensorFlow 将张量剪辑为指定的最大值和最小值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hz2c2cxb.html \"剪辑TensorFlow张量为指定的最大值和最小值\")\n   35. [TensorFlow 将实数转换为复数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h6tb2cxc.html \"如何将TensorFlow的实数转换为复数\")\n   36. [TensorFlow 将张量沿一个维度串联](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-euxa2cz7.html \"将TensorFlow张量沿一个维度串联\")\n   37. [TensorFlow tf.cond函数的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w47x2cz8.html \"tf.cond函数的使用\")\n   38. [TensorFlow聚合梯度的条件累加器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p5h32czb.html \"TensorFlow聚合梯度的条件累加器\")\n   39. [如何使用ConditionalAccumulatorBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-586o2d2v.html \"如何使用ConditionalAccumulatorBase\")\n   40. [TensorFlow如何计算混淆矩阵](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d4p62d2x.html \"TensorFlow如何计算混淆矩阵\")\n   41. [如何使用conj](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e2812d2z.html \"如何使用conj\")\n   42. [在TensorFlow中使用constant函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jabh2d30.html \"在TensorFlow中使用constant函数\")\n   43. [TensorFlow使用初始化器生成具有常量值的张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vy2d2d4r.html \"TensorFlow使用初始化器生成具有常量值的张量\")\n   44. [container的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1hza2d4v.html \"container的使用\")\n   45. [control\\_dependencies的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bguz2d73.html \"control_dependencies的使用\")\n   46. [TensorFlow将给定值转换为张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g2tw2d76.html \"TensorFlow将给定值转换为张量\")\n   47. [TensorFlow将给定的对象转换为张量或IndexedSlices](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c6r72d77.html \"TensorFlow将给定的对象转换为张量或IndexedSlices\")\n   48. [TensorFlow将值转换为SparseTensor或张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wl1v2d78.html \"TensorFlow将值转换为SparseTensor或张量\")\n   49. [计算TensorFlow元素的cos值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ogbm2ddb.html \"计算TensorFlow元素的cos值\")\n   50. [TensorFlow元素的双曲余弦](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cl572ddc.html \"TensorFlow元素的双曲余弦\")\n   51. [计算TensorFlow中非零元素的个数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tr5s2ddf.html \"计算TensorFlow中非零元素的个数\")\n   52. [TensorFlow对ref进行递增](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4bps2ddg.html \"TensorFlow对ref进行递增\")\n   53. [TensorFlow怎么创建分区变量列表](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kigf2ddh.html \"TensorFlow怎么创建分区变量列表\")\n   54. [计算张量沿轴的累积积](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ug6f2df4.html \"计算张量沿轴的累积积\")\n   55. [TensorFlow张量的累积和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4pkj2dhm.html \"TensorFlow张量的累积和\")\n   56. [TensorFlow字符串解码](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-aod42dhp.html \"TensorFlow字符串解码\")\n   57. [TensorFlow CSV转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9lc22dhr.html \"TensorFlow CSV转换\")\n   58. [JSON编码的示例记录转换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ipov2dj7.html \"JSON编码的示例记录转换\")\n   59. [TensorFlow将raw格式转换为张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sw7v2dj8.html \"TensorFlow将raw格式转换为张量\")\n   60. [TensorFlow数据从深度排列为空间数据块](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lrb62djd.html \"TensorFlow数据从深度排列为空间数据块\")\n   61. [反量化TensorFlow张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hgen2dje.html \"反量化TensorFlow张量\")\n   62. [TensorFlow设备规范](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nlfw2du0.html \"TensorFlow设备规范\")\n   63. [使用diag返回对角张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c3e22du4.html \"使用diag返回对角张量\")\n   64. [TensorFlow如何返回对角线](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vr4o2dxa.html \"TensorFlow如何返回对角线\")\n   65. [TensorFlow除法运算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yxij2dxd.html \"TensorFlow除法运算\")\n   66. [使用Dimension类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-odpm2dxe.html \"使用Dimension类\")\n   67. [TensorFlow张量的元素类型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d6x22e0f.html \"TensorFlow张量的元素类型\")\n   68. [TensorFlow分区索引的使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l84d2e19.html \"TensorFlow分区索引的使用\")\n   69. [如何插入TensorFlow数据张量的值](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tcwk2e3z.html \"如何插入TensorFlow数据张量的值\")\n   70. [计算TensorFlow序列之间的编辑距离](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ovtr2e43.html \"计算TensorFlow序列之间的编辑距离\")\n   71. [TensorFlow如何实现张量收缩](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qszk2e44.html \"TensorFlow如何实现张量收缩\")\n   72. [TensorFlow实现字符串编码](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ux292e7n.html \"TensorFlow实现字符串编码\")\n   73. [TensorFlow怎么使用equal函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gwj82e7u.html \"怎么使用equal函数\")\n   74. [TensorFlow误差函数计算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-k52n2e7y.html \"TensorFlow误差函数计算\")\n   75. [计算TensorFlow元素的指数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fewr2e80.html \"计算TensorFlow元素的指数\")\n   76. [如何在TensorFlow张量形状中插入维度](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-x5ic2ecp.html \"如何在TensorFlow张量形状中插入维度\")\n   77. [构造TensorFlow的单位矩阵](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gt7i2ed3.html \"构造TensorFlow的单位矩阵\")\n   78. [怎么对TensorFlow进行假量化](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-iw8n2ei2.html \"怎么对TensorFlow进行假量化\")\n   79. [TensorFlow快速傅里叶变换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n1j32ei4.html \"TensorFlow快速傅里叶变换\")\n   80. [利用标量值填充TensorFlow张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-onqp2ei6.html \"利用标量值填充TensorFlow张量\")\n   81. [TensorFlow怎么解析固定长度输入功能](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-85v32emy.html \"TensorFlow怎么解析固定长度输入功能\")\n   82. [TensorFlow从文件中输出记录的读取器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sp792epm.html \"TensorFlow从文件中输出记录的读取器\")\n   83. [如何将TensorFlow输入特征解析为张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pmju2epv.html \"如何将TensorFlow输入特征解析为张量\")\n   84. [如何使用TensorFlow的floor函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-67vg2epy.html \"如何使用TensorFlow的floor函数\")\n   85. [TensorFlow函数：tf.floormod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-raf72erk.html \"TensorFlow函数：tf.floormod\")\n   86. [TensorFlow高阶函数：tf.foldl](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jza52erm.html \"TensorFlow高阶函数：tf.foldl\")\n   87. [TensorFlow张量变换函数：tf.gather](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w3uo2err.html \"TensorFlow张量变换函数：tf.gather\")\n   88. [TensorFlow函数：tf.gather\\_nd](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ctv72eru.html \"TensorFlow函数：tf.gather_nd\")\n   89. [TensorFlow函数：get\\_collection](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zn8e2euz.html \"TensorFlow函数：get_collection\")\n   90. [default函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7fyk2ev2.html \"default函数\")\n   91. [TensorFlow函数：get\\_session\\_handle](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cso52ev7.html \"TensorFlow函数：get_session_handle\")\n   92. [TensorFlow变量函数：tf.get\\_local\\_variable](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fe2i2ev9.html \"TensorFlow变量函数：tf.get_local_variable\")\n   93. [tf.get\\_variable函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-st6f2ez1.html \"tf.get_variable函数\")\n   94. [TensorFlow全局函数：tf.global\\_norm](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-x42t2ez2.html \"TensorFlow全局函数：tf.global_norm\")\n   95. [使用global\\_variables获取全局变量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4isv2ez3.html \"使用global_variables获取全局变量\")\n   96. [TensorFlow初始化器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sbv42ez5.html \"TensorFlow初始化器\")\n   97. [TensorFlow梯度计算：tf.gradients](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kbev2ezc.html \"TensorFlow梯度计算：tf.gradients\")\n   98. [tf.GraphKeys函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ne7t2ezd.html \"tf.GraphKeys函数\")\n   99. [TensorFlow比较函数：tf.greater](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-neuv2f1k.html \"TensorFlow比较函数：tf.greater\")\n   100. [TensorFlow流程控制函数：tf.group](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mgxu2f1p.html \"TensorFlow流程控制函数：tf.group\")\n   101. [Hessian函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ugsi2f1r.html \"Hessian函数\")\n   102. [TensorFlow逆向快速傅里叶变换函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c91g2f1t.html \"TensorFlow逆向快速傅里叶变换函数\")\n   103. [Gamma函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l45v2f1w.html \"Gamma函数\")\n   104. [TensorFlow复数函数：tf.imag](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uzgw2f1x.html \"TensorFlow复数函数：tf.imag\")\n   105. [TensorFlow图形处理函数：tf.import\\_graph\\_def](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vhtj2f4p.html \"TensorFlow图形处理函数：tf.import_graph_def\")\n   106. [TensorFlow函数：IndexedSlices](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d9li2f4s.html \"TensorFlow函数：IndexedSlices\")\n   107. [tf.invert\\_permutation：张量的逆置换](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o6fn2f4t.html \"tf.invert_permutation：张量的逆置换\")\n   108. [TensorFlow使用isnan函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8rnb2f4u.html \"TensorFlow使用isnan函数\")\n   109. [TensorFlow数学函数：tf.lbeta](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i4p52f4v.html \"TensorFlow数学函数：tf.lbeta\")\n   110. [TensorFlow函数：tf.less](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fw182f4x.html \"TensorFlow函数：tf.less\")\n   111. [TensorFlow函数：tf.lin\\_space](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bdpa2f7u.html \"TensorFlow函数：tf.lin_space\")\n   112. [LMDB文件读取器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kpqi2f7v.html \"LMDB文件读取器\")\n   113. [加载TensorFlow插件的函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u5hr2f85.html \"加载TensorFlow插件的函数\")\n   114. [TensorFlow局部变量：tf.local\\_variables](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-r2qh2f8a.html \"TensorFlow局部变量：tf.local_variables\")\n   115. [tf.log：计算TensorFlow的自然对数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mesu2f8d.html \"tf.log：计算TensorFlow的自然对数\")\n   116. [TensorFlow函数：logical](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sypo2fa0.html \"TensorFlow函数：logical\")\n   117. [TensorFlow变量函数：tf.make\\_template](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yt182fa1.html \"TensorFlow变量函数：tf.make_template\")\n   118. [创建TensorProto](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fxrl2fa6.html \"创建TensorProto\")\n   119. [TensorFlow：tf.map\\_fn函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ibqv2fdw.html \"TensorFlow：tf.map_fn函数\")\n   120. [TensorFlow：tf.matching\\_files函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-v1x52fee.html \"TensorFlow：tf.matching_files函数\")\n   121. [TensorFlow：tf.matmul函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l5x72feg.html \"TensorFlow：tf.matmul函数\")\n   122. [TensorFlow矩阵数学函数：tf.matrix\\_band\\_part](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lyqv2fgm.html \"TensorFlow矩阵数学函数：tf.matrix_band_part\")\n   123. [TensorFlow计算方阵行列式的函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vbhn2fgo.html \"TensorFlow计算方阵行列式的函数\")\n   124. [TensorFlow：tf.matrix\\_diag函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-htmy2fgq.html \"TensorFlow：tf.matrix_diag函数\")\n   125. [TensorFlow：tf.matrix\\_inverse函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-39tu2fgu.html \"TensorFlow：tf.matrix_inverse函数\")\n   126. [TensorFlow函数：tf.matrix\\_set\\_diag](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uqdo2fit.html \"TensorFlow函数：tf.matrix_set_diag\")\n   127. [TensorFlow函数：tf.matrix\\_solve](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8q9l2fiw.html \"TensorFlow函数：tf.matrix_solve\")\n   128. [TensorFlow函数：tf.matrix\\_solve\\_ls](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wkzd2fiy.html \"TensorFlow函数：tf.matrix_solve_ls\")\n   129. [TensorFlow函数：tf.matrix\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cqaz2fj2.html \"TensorFlow函数：tf.matrix_transpose\")\n   130. [TensorFlow函数：tf.matrix\\_triangular\\_solve](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d62a2fk5.html \"TensorFlow函数：tf.matrix_triangular_solve\")\n   131. [TensorFlow数学函数：tf.maximum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z6y42fk6.html \"TensorFlow数学函数：tf.maximum\")\n   132. [TensorFlow张量变换：tf.meshgrid](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-a4xe2fk7.html \"TensorFlow张量变换：tf.meshgrid\")\n   133. [TensorFlow数学函数：tf.minimum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3f4v2fk9.html \"TensorFlow数学函数：tf.minimum\")\n   134. [TensorFlow变量：tf.min\\_max\\_variable\\_partitioner](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yh7i2fkd.html \"TensorFlow变量：tf.min_max_variable_partitioner\")\n   135. [multinomial函数：从多项式分布中抽取样本](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l5d12fln.html \"multinomial函数：从多项式分布中抽取样本\")\n   136. [TensorFlow构建图形：tf.name\\_scope函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ydnb2flr.html \"TensorFlow构建图形：tf.name_scope函数\")\n   137. [TensorFlow函数：tf.negative](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1ink2flu.html \"TensorFlow函数：tf.negative\")\n   138. [TensorFlow范数：tf.norm函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-alxk2fqe.html \"TensorFlow范数：tf.norm函数\")\n   139. [TensorFlow比较运算符：tf.not\\_equal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h6852fqf.html \"TensorFlow比较运算符：tf.not_equal\")\n   140. [TensorFlow函数：tf.ones](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-uyfn2fqi.html \"TensorFlow函数：tf.ones\")\n   141. [TensorFlow函数：tf.ones\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5brh2fsk.html \"TensorFlow函数：tf.ones_initializer\")\n   142. [TensorFlow函数：tf.ones\\_like](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wy5d2fsl.html \"TensorFlow函数：tf.ones_like\")\n   143. [tf.one\\_hot函数：返回one-hot张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fh1b2fsm.html \"tf.one_hot函数：返回one-hot张量\")\n   144. [TensorFlow函数：tf.OpError](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jnqa2ftu.html \"TensorFlow函数：tf.OpError\")\n   145. [tf.orthogonal\\_initializer函数：正交矩阵的初始化器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2t9p2ftv.html \"tf.orthogonal_initializer函数：正交矩阵的初始化器\")\n   146. [TensorFlow填充张量函数：tf.pad](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gkxf2fty.html \"TensorFlow填充张量函数：tf.pad\")\n   147. [TensorFlow函数：tf.parallel\\_stack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zdwj2fu1.html \"TensorFlow函数：tf.parallel_stack\")\n   148. [解析Example原型：tf.parse\\_single\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5nrv2fwa.html \"解析Example原型：tf.parse_single_example\")\n   149. [TensorFlow占位符：tf.placeholder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w7yt2fwc.html \"TensorFlow占位符：tf.placeholder\")\n   150. [TensorFlow函数：tf.parse\\_example](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-y2fl2fyo.html \"TensorFlow函数：tf.parse_example\")\n   151. [TensorFlow函数：解析SequenceExample原型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nfqr2fz3.html \"TensorFlow函数：解析SequenceExample原型\")\n   152. [TensorFlow占位符操作：tf.placeholder\\_with\\_default](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fzkm2g13.html \"TensorFlow占位符操作：tf.placeholder_with_default\")\n   153. [TensorFlow幂值计算函数：tf.pow](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5kb92g14.html \"TensorFlow幂值计算函数：tf.pow\")\n   154. [tf.Print函数：打印张量列表](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sfcv2g3o.html \"tf.Print函数：打印张量列表\")\n   155. [包装用于TensorFlow操作的Python函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7eil2g75.html \"包装用于TensorFlow操作的Python函数\")\n   156. [tf.qr函数：计算矩阵的QR分解](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2urq2g9d.html \"tf.qr函数：计算矩阵的QR分解\")\n   157. [TensorFlow函数：tf.quantized\\_concat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l3x62gas.html \"TensorFlow函数：tf.quantized_concat\")\n   158. [TensorFlow张量变换函数：tf.quantize\\_v2](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ydjo2gcv.html \"TensorFlow张量变换函数：tf.quantize_v2\")\n   159. [TensorFlow函数：tf.random\\_crop](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-gojy2gfp.html \"TensorFlow函数：tf.random_crop\")\n   160. [TensorFlow队列函数：tf.QueueBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1lme2ghb.html \"TensorFlow队列函数：tf.QueueBase\")\n   161. [TensorFlow函数：tf.random\\_gamma](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qsft2gjv.html \"TensorFlow函数：tf.random_gamma\")\n   162. [TensorFlow随机值：tf.random\\_normal函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n7hl2gmf.html \"TensorFlow随机值：tf.random_normal函数\")\n   163. [tf.random\\_normal\\_initializer：TensorFlow初始化器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b8jq2gqh.html \"tf.random_normal_initializer：TensorFlow初始化器\")\n   164. [TensorFlow函数：tf.random\\_poisson](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-s2ia2gsz.html \"TensorFlow函数：tf.random_poisson\")\n   165. [TensorFlow函数：tf.random\\_shuffle](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-erti2gv6.html \"TensorFlow函数：tf.random_shuffle\")\n   166. [TensorFlow随机值函数：tf.random\\_uniform](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rnix2gv7.html \"TensorFlow随机值函数：tf.random_uniform\")\n   167. [TensorFlow函数：tf.random\\_uniform\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f1np2gyt.html \"TensorFlow函数：tf.random_uniform_initializer\")\n   168. [tf.range函数：创建数字序列](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5taw2h1h.html \"tf.range函数：创建数字序列\")\n   169. [tf.rank函数：返回TensorFlow张量的秩](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lani2h2z.html \"tf.rank函数：返回TensorFlow张量的秩\")\n   170. [TensorFlow读取器基类：tf.ReaderBase](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q1pg2h6e.html \"TensorFlow读取器基类：tf.ReaderBase\")\n   171. [TensorFlow函数：tf.real](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5mzj2h9x.html \"TensorFlow函数：tf.real\")\n   172. [tf.realdiv函数：x\/y元素的实数类型](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fi9u2hcl.html \"tf.realdiv函数：x\/y元素的实数类型\")\n   173. [用于计算倒数的tf.reciprocal函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wdxc2hem.html \"用于计算倒数的tf.reciprocal函数\")\n   174. [tf.reduce\\_all函数：计算张量在维度上的逻辑和](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4ihe2hen.html \"tf.reduce_all函数：计算张量在维度上的逻辑和\")\n   175. [TensorFlow函数：tf.reduce\\_any](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d2y32hgr.html \"TensorFlow函数：tf.reduce_any\")\n   176. [tf.reduce\\_join函数：添加字符串张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zku82hj1.html \"tf.reduce_join函数：添加字符串张量\")\n   177. [TensorFlow函数：tf.reduce\\_logsumexp](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-lfkd2hog.html \"TensorFlow函数：tf.reduce_logsumexp\")\n   178. [TensorFlow函数：tf.reduce\\_max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wvzy2hqq.html \"TensorFlow函数：tf.reduce_max\")\n   179. [TensorFlow函数：tf.reduce\\_mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hckq2htb.html \"TensorFlow函数：tf.reduce_mean\")\n   180. [TensorFlow函数：tf.reduce\\_min](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-m6e72huz.html \"TensorFlow函数：tf.reduce_min\")\n   181. [TensorFlow函数：tf.reduce\\_prod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jsl62hyf.html \"TensorFlow函数：tf.reduce_prod\")\n   182. [TensorFlow函数：tf.reduce\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5y4d2i2n.html \"TensorFlow函数：tf.reduce_sum\")\n   183. [TensorFlow函数：tf.RegisterGradient](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zet32i4v.html \"TensorFlow函数：tf.RegisterGradient\")\n   184. [TensorFlow函数：将base\\_type的对象转换为Tensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kuxj2i7r.html \"TensorFlow函数：将base_type的对象转换为Tensor\")\n   185. [TensorFlow：tf.report\\_uninitialized\\_variables函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kgj12i9l.html \"TensorFlow：tf.report_uninitialized_variables函数\")\n   186. [TensorFlow函数：如何计算填充](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jpu92ic6.html \"TensorFlow函数：如何计算填充\")\n   187. [TensorFlow：tf.reset\\_default\\_graph函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nmgf2idd.html \"TensorFlow：tf.reset_default_graph函数\")\n   188. [TensorFlow：使用tf.reshape函数重塑张量](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bumd2ide.html \"TensorFlow：使用tf.reshape函数重塑张量\")\n   189. [TensorFlow：tf.reverse函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pjcm2ifr.html \"TensorFlow：tf.reverse函数\")\n   190. [TensorFlow函数：tf.reverse\\_sequence](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xhau2ihk.html \"TensorFlow函数：tf.reverse_sequence\")\n   191. [tf.reverse\\_v2函数：反转张量的特定维度](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7s9u2ikn.html \"tf.reverse_v2函数：反转张量的特定维度\")\n   192. [TensorFlow：tf.rint函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p5nz2in4.html \"TensorFlow：tf.rint函数\")\n   193. [TensorFlow四舍五入：tf.round函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cnvw2in5.html \"TensorFlow四舍五入：tf.round函数\")\n   194. [tf.rsqrt函数：TensorFlow平方根倒数计算](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2oh42ipi.html \"tf.rsqrt函数：TensorFlow平方根倒数计算\")\n   195. [TensorFlow函数：tf.RunOptions](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-la9q2izr.html \"TensorFlow函数：tf.RunOptions\")\n   196. [TensorFlow函数：tf.saturate\\_cast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ht8s2j1k.html \"TensorFlow函数：tf.saturate_cast\")\n   197. [TensorFlow数学函数：tf.scalar\\_mul](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b18q2j1n.html \"TensorFlow数学函数：tf.scalar_mul\")\n   198. [TensorFlow函数：tf.scatter\\_nd](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-led42j40.html \"TensorFlow函数：tf.scatter_nd\")\n   199. [TensorFlow变量函数：tf.scatter\\_nd\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-h5yo2j65.html \"TensorFlow变量函数：tf.scatter_nd_add\")\n   200. [TensorFlow：tf.scatter\\_nd\\_sub函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ucfx2j8s.html \"TensorFlow：tf.scatter_nd_sub函数\")\n   201. [TensorFlow函数：tf.scatter\\_nd\\_update](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mvda2jah.html \"TensorFlow函数：tf.scatter_nd_update\")\n   202. [TensorFlow函数：tf.scatter\\_sub](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1fc52jc9.html \"TensorFlow函数：tf.scatter_sub\")\n   203. [tf.scatter\\_update函数：将稀疏更新应用于变量引用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-g3v22jf1.html \"tf.scatter_update函数：将稀疏更新应用于变量引用\")\n   204. [tf.segment\\_max函数：计算一个张量的最大沿段](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d53n2jf2.html \"tf.segment_max函数：计算一个张量的最大沿段\")\n   205. [TensorFlow：tf.segment\\_mean函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3hdm2jgq.html \"TensorFlow：tf.segment_mean函数\")\n   206. [TensorFlow：tf.segment\\_min函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pvm32jgs.html \"TensorFlow：tf.segment_min函数\")\n   207. [TensorFlow：tf.segment\\_prod函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ywg2jil.html \"TensorFlow：tf.segment_prod函数\")\n   208. [TensorFlow数学函数：tf.segment\\_sum函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ua7w2jip.html \"TensorFlow数学函数：tf.segment_sum函数\")\n   209. [TensorFlow数学函数：tf.self\\_adjoint\\_eig](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hxnm2jlw.html \"TensorFlow数学函数：tf.self_adjoint_eig\")\n   210. [TensorFlow数学函数：tf.self\\_adjoint\\_eigvals](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-tgqx2jlx.html \"TensorFlow数学函数：tf.self_adjoint_eigvals\")\n   211. [TensorFlow张量变换函数：tf.sequence\\_mask](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2elp2jns.html \"TensorFlow张量变换函数：tf.sequence_mask\")\n   212. [TensorFlow：tf.serialize\\_many\\_sparse 函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f8a12jnu.html \"TensorFlow：tf.serialize_many_sparse 函数\")\n   213. [TensorFlow：tf.serialize\\_sparse函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pfeh2jpx.html \"TensorFlow：tf.serialize_sparse函数\")\n   214. [TensorFlow：tf.serialize\\_tensor函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5uhd2jrm.html \"TensorFlow：tf.serialize_tensor函数\")\n   215. [TensorFlow数学函数：tf.setdiff1d](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w3bd2jro.html \"TensorFlow数学函数：tf.setdiff1d\")\n   216. [TensorFlow随机张量：tf.set\\_random\\_seed函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fqc42jvo.html \"TensorFlow随机张量：tf.set_random_seed函数\")\n   217. [TensorFlow：tf.Session函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-slp52jz8.html \"TensorFlow：tf.Session函数\")\n   218. [TensorFlow张量变换函数：tf.shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qais2k0z.html \"TensorFlow张量变换函数：tf.shape\")\n   219. [TensorFlow：tf.shape\\_n函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-smjo2k45.html \"TensorFlow：tf.shape_n函数\")\n   220. [TensorFlow神经网络：tf.sigmoid函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-d46p2k47.html \"TensorFlow神经网络：tf.sigmoid函数\")\n   221. [TensorFlow数学函数：tf.sign](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i5vr2k6r.html \"TensorFlow数学函数：tf.sign\")\n   222. [TensorFlow数学函数：tf.sin函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l3qs2k6t.html \"TensorFlow数学函数：tf.sin函数\")\n   223. [TensorFlow数学函数：tf.sinh函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-km4u2k9k.html \"TensorFlow数学函数：tf.sinh函数\")\n   224. [TensorFlow张量变换：tf.size](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zowf2k9l.html \"TensorFlow张量变换：tf.size\")\n   225. [TensorFlow分割：tf.slice函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cdj92kbd.html \"TensorFlow分割：tf.slice函数\")\n   226. [TensorFlow：tf.space\\_to\\_batch函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wygr2kbg.html \"TensorFlow：tf.space_to_batch函数\")\n   227. [TensorFlow张量变换：tf.space\\_to\\_batch\\_nd函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-emqk2kf4.html \"TensorFlow张量变换：tf.space_to_batch_nd函数\")\n   228. [TensorFlow：tf.space\\_to\\_depth函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rkfq2kf9.html \"TensorFlow：tf.space_to_depth函数\")\n   229. [TensorFlow：tf.SparseConditionalAccumulator函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yc732khq.html \"TensorFlow：tf.SparseConditionalAccumulator函数\")\n   230. [TensorFlow函数：tf.SparseFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-6ai52khv.html \"TensorFlow函数：tf.SparseFeature\")\n   231. [TensorFlow稀疏张量函数：tf.SparseTensor](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-le4w2kjm.html \"TensorFlow稀疏张量函数：tf.SparseTensor\")\n   232. [TensorFlow函数：tf.SparseTensorValue](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cix62kjs.html \"TensorFlow函数：tf.SparseTensorValue\")\n   233. [TensorFlow函数：tf.sparse\\_add](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j9oc2l7p.html \"TensorFlow函数：tf.sparse_add\")\n   234. [TensorFlow函数：tf.sparse\\_concat](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z5t32ld5.html \"TensorFlow函数：tf.sparse_concat\")\n   235. [TensorFlow函数：tf.sparse\\_fill\\_empty\\_rows](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-evr22ldc.html \"TensorFlow函数：tf.sparse_fill_empty_rows\")\n   236. [TensorFlow函数：tf.sparse\\_mask](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jbqn2lfh.html \"TensorFlow函数：tf.sparse_mask\")\n   237. [TensorFlow函数：tf.sparse\\_matmul](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b2ca2lfi.html \"TensorFlow函数：tf.sparse_matmul\")\n   238. [TensorFlow稀疏张量：tf.sparse\\_maximum函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-qyhc2lhq.html \"TensorFlow稀疏张量：tf.sparse_maximum函数\")\n   239. [TensorFlow稀疏张量：tf.sparse\\_merge函数](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8ca92lhv.html \"TensorFlow稀疏张量：tf.sparse_merge函数\")\n   240. [TensorFlow函数：tf.sparse\\_minimum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9yfl2ll0.html \"TensorFlow函数：tf.sparse_minimum\")\n   241. [TensorFlow函数：tf.sparse\\_placeholder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zj1v2ll2.html \"TensorFlow函数：tf.sparse_placeholder\")\n   242. [TensorFlow函数：tf.sparse\\_reduce\\_max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7kto2lnq.html \"TensorFlow函数：tf.sparse_reduce_max\")\n   243. [TensorFlow函数：tf.sparse\\_reduce\\_max\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8kp22lnu.html \"TensorFlow函数：tf.sparse_reduce_max_sparse\")\n   244. [TensorFlow函数：tf.sparse\\_reduce\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-hv612lqb.html \"TensorFlow函数：tf.sparse_reduce_sum\")\n   245. [TensorFlow函数：tf.sparse\\_reduce\\_sum\\_sparse](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j4w72lrm.html \"TensorFlow函数：tf.sparse_reduce_sum_sparse\")\n   246. [TensorFlow函数：tf.sparse\\_reorder](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1wsb2lro.html \"TensorFlow函数：tf.sparse_reorder\")\n   247. [TensorFlow函数：tf.sparse\\_reset\\_shape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4plj2ltw.html \"TensorFlow函数：tf.sparse_reset_shape\")\n   248. [TensorFlow函数：tf.sparse\\_reshape](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zoct2ltz.html \"TensorFlow函数：tf.sparse_reshape\")\n   249. [TensorFlow函数：tf.sparse\\_retain](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ad3z2lx3.html \"TensorFlow函数：tf.sparse_retain\")\n   250. [TensorFlow函数：tf.sparse\\_segment\\_mean](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3jzp2lx4.html \"TensorFlow函数：tf.sparse_segment_mean\")\n   251. [TensorFlow函数：tf.sparse\\_segment\\_sqrt\\_n](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pybc2lz3.html \"TensorFlow函数：tf.sparse_segment_sqrt_n\")\n   252. [TensorFlow数学函数：tf.sparse\\_segment\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4yfd2m0a.html \"TensorFlow数学函数：tf.sparse_segment_sum\")\n   253. [TensorFlow函数：tf.sparse\\_slice](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pl2f2m0i.html \"TensorFlow函数：tf.sparse_slice\")\n   254. [TensorFlow函数：tf.sparse\\_softmax](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i6mg2m62.html \"TensorFlow函数：tf.sparse_softmax\")\n   255. [TensorFlow函数：tf.sparse\\_split](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ws7m2m63.html \"TensorFlow函数：tf.sparse_split\")\n   256. [TensorFlow函数：tf.sparse\\_tensor\\_dense\\_matmul](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-f4s12m7w.html \"TensorFlow函数：tf.sparse_tensor_dense_matmul\")\n   257. [TensorFlow函数：tf.sparse\\_tensor\\_to\\_dense](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3ca12m7z.html \"TensorFlow函数：tf.sparse_tensor_to_dense\")\n   258. [TensorFlow函数：tf.sparse\\_to\\_dense](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3axj2ma6.html \"TensorFlow函数：tf.sparse_to_dense\")\n   259. [TensorFlow函数：tf.sparse\\_to\\_indicator](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-w7hc2mab.html \"TensorFlow函数：tf.sparse_to_indicator\")\n   260. [TensorFlow函数：tf.sparse\\_transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-or7q2mcw.html \"TensorFlow函数：tf.sparse_transpose\")\n   261. [TensorFlow函数：tf.split](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-x1yu2mcy.html \"TensorFlow函数：tf.split\")\n   262. [TensorFlow函数：tf.sqrt](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-75pb2mfi.html \"TensorFlow函数：tf.sqrt\")\n   263. [TensorFlow函数：tf.square](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-p5lq2mfk.html \"TensorFlow函数：tf.square\")\n   264. [TensorFlow函数：tf.squared\\_difference](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-o6al2mig.html \"TensorFlow函数：tf.squared_difference\")\n   265. [TensorFlow函数：tf.squeeze](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-1yed2mih.html \"TensorFlow函数：tf.squeeze\")\n   266. [TensorFlow函数：tf.stack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-36hu2mm9.html \"TensorFlow函数：tf.stack\")\n   267. [TensorFlow函数：tf.stop\\_gradient](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jego2mma.html \"TensorFlow函数：tf.stop_gradient\")\n   268. [TensorFlow函数：tf.strided\\_slice](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vip72mnv.html \"TensorFlow函数：tf.strided_slice\")\n   269. [TensorFlow函数：tf.string\\_join](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ukns2mo5.html \"TensorFlow函数：tf.string_join\")\n   270. [TensorFlow函数：tf.string\\_split](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ys2z2mra.html \"TensorFlow函数：tf.string_split\")\n   271. [TensorFlow函数：tf.string\\_to\\_hash\\_bucket](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-b7kc2mrg.html \"TensorFlow函数：tf.string_to_hash_bucket\")\n   272. [TensorFlow函数：tf.string\\_to\\_hash\\_bucket\\_fast](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-krd42mus.html \"TensorFlow函数：tf.string_to_hash_bucket_fast\")\n   273. [TensorFlow函数：tf.string\\_to\\_hash\\_bucket\\_strong](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-j82p2mut.html \"TensorFlow函数：tf.string_to_hash_bucket_strong\")\n   274. [TensorFlow函数：tf.string\\_to\\_number](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2kdb2my1.html \"TensorFlow函数：tf.string_to_number\")\n   275. [TensorFlow函数：tf.substr](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8e5w2my4.html \"TensorFlow函数：tf.substr\")\n   276. [TensorFlow函数：tf.subtract](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-duje2n2k.html \"TensorFlow函数：tf.subtract\")\n   277. [TensorFlow：Summary类](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-pe722n2p.html \"TensorFlow：Summary类\")\n   278. [TensorFlow函数：tf.svd](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-i1th2n54.html \"TensorFlow函数：tf.svd\")\n   279. [TensorFlow函数：tf.tables\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-y5j32n55.html \"TensorFlow函数：tf.tables_initializer\")\n   280. [TensorFlow函数：tf.tan](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-yazk2n7h.html \"TensorFlow函数：tf.tan\")\n   281. [TensorFlow函数：tf.tanh](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-nusi2n9g.html \"TensorFlow函数：tf.tanh\")\n   282. [TensorFlow函数：tf.tensordot](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-urjs2n9h.html \"TensorFlow函数：tf.tensordot\")\n   283. [TensorFlow函数：tf.TextLineReader](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-2s342nbz.html \"TensorFlow函数：tf.TextLineReader\")\n   284. [TensorFlow函数：tf.tile](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-k14x2nc7.html \"TensorFlow函数：tf.tile\")\n   285. [TensorFlow函数：tf.to\\_bfloat16](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-xerq2ndi.html \"TensorFlow函数：tf.to_bfloat16\")\n   286. [TensorFlow函数：tf.to\\_double](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-7zlv2ndj.html \"TensorFlow函数：tf.to_double\")\n   287. [TensorFlow函数：tf.to\\_float](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-ayvr2nfu.html \"TensorFlow函数：tf.to_float\")\n   288. [TensorFlow函数：tf.to\\_int32](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-l6vd2nfv.html \"TensorFlow函数：tf.to_int32\")\n   289. [TensorFlow函数：tf.to\\_int64](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wxuy2nm6.html \"TensorFlow函数：tf.to_int64\")\n   290. [TensorFlow函数：tf.trace](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-phqa2nm7.html \"TensorFlow函数：tf.trace\")\n   291. [TensorFlow函数：tf.trainable\\_variables](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mt3n2no2.html \"TensorFlow函数：tf.trainable_variables\")\n   292. [TensorFlow函数：tf.transpose](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z61d2no5.html \"TensorFlow函数：tf.transpose\")\n   293. [TensorFlow函数：tf.truediv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-mkop2nss.html \"TensorFlow函数：tf.truediv\")\n   294. [TensorFlow函数：tf.truncatediv](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-kfzp2nst.html \"TensorFlow函数：tf.truncatediv\")\n   295. [TensorFlow函数：tf.truncated\\_normal](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-m94j2nux.html \"TensorFlow函数：tf.truncated_normal\")\n   296. [TensorFlow函数：tf.truncated\\_normal\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-4pyc2nuy.html \"TensorFlow函数：tf.truncated_normal_initializer\")\n   297. [TensorFlow函数：tf.truncatemod](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vz292nxf.html \"TensorFlow函数：tf.truncatemod\")\n   298. [TensorFlow函数：tf.tuple](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-byi32nxj.html \"TensorFlow函数：tf.tuple\")\n   299. [TensorFlow函数：tf.uniform\\_unit\\_scaling\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fy6t2o0o.html \"TensorFlow函数：tf.uniform_unit_scaling_initializer\")\n   300. [TensorFlow函数：tf.unique](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-duv62o0r.html \"TensorFlow函数：tf.unique\")\n   301. [TensorFlow函数：tf.unique\\_with\\_counts](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-cdi62o34.html \"TensorFlow函数：tf.unique_with_counts\")\n   302. [TensorFlow函数：tf.unravel\\_index](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-5rum2o39.html \"TensorFlow函数：tf.unravel_index\")\n   303. [TensorFlow函数：tf.unsorted\\_segment\\_max](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-n3o42o5y.html \"TensorFlow函数：tf.unsorted_segment_max\")\n   304. [TensorFlow函数：tf.unsorted\\_segment\\_sum](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-q3ce2o5z.html \"TensorFlow函数：tf.unsorted_segment_sum\")\n   305. [TensorFlow函数：tf.unstack](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bsky2o7k.html \"TensorFlow函数：tf.unstack\")\n   306. [TensorFlow函数：tf.variables\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wrv82o7l.html \"TensorFlow函数：tf.variables_initializer\")\n   307. [TensorFlow函数：tf.variable\\_axis\\_size\\_partitioner](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-we2s2o9w.html \"TensorFlow函数：tf.variable_axis_size_partitioner\")\n   308. [TensorFlow函数：tf.variable\\_op\\_scope](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-znvu2o9x.html \"TensorFlow函数：tf.variable_op_scope\")\n   309. [TensorFlow函数：tf.variable\\_scope](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-61ue2ocp.html \"TensorFlow函数：tf.variable_scope\")\n   310. [TensorFlow函数：tf.variance\\_scaling\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-e9tb2ocq.html \"TensorFlow函数：tf.variance_scaling_initializer\")\n   311. [TensorFlow函数：tf.VarLenFeature](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-8utg2oez.html \"TensorFlow函数：tf.VarLenFeature\")\n   312. [TensorFlow函数：tf.verify\\_tensor\\_all\\_finite](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-z5822of0.html \"TensorFlow函数：tf.verify_tensor_all_finite\")\n   313. [TensorFlow函数：tf.where](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-u6l92oik.html \"TensorFlow函数：tf.where\")\n   314. [TensorFlow函数：tf.while\\_loop](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-wife2oil.html \"TensorFlow函数：tf.while_loop\")\n   315. [TensorFlow函数：tf.WholeFileReader](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3xkc2osa.html \"TensorFlow函数：tf.WholeFileReader\")\n   316. [TensorFlow函数：tf.write\\_file](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-43tf2oko.html \"TensorFlow函数：tf.write_file\")\n   317. [TensorFlow函数：tf.zeros](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3fj22okr.html \"TensorFlow函数：tf.zeros\")\n   318. [TensorFlow函数：tf.zeros\\_initializer](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-eo7k2opv.html \"TensorFlow函数：tf.zeros_initializer\")\n   319. [TensorFlow函数：tf.zeros\\_like](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-rjsp2opw.html \"TensorFlow函数：tf.zeros_like\")\n   320. [TensorFlow函数：tf.zeta](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-jv2n2os8.html \"TensorFlow函数：tf.zeta\")\n5. [TensorFlow 手写数字分类问题](\"TensorFlow的MNIST手写数字分类问题\")\n   1. [TensorFlow的MNIST手写数字分类问题 基础篇](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-c1ov28so.html \"TensorFlow的MNIST手写数字分类问题  基础篇\")\n   2. [TensorFlow的MNIST手写数字分类问题 进阶篇](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-vj8528sp.html \"TensorFlow的MNIST手写数字分类问题  进阶篇\")\n\n阅读(11.6k)  书签  赞(3)   [我要纠错](https:\/\/www.w3cschool.cn\/edit\/tensorflow_python\/tensorflow_python-caw628sg)\n\n2018-08-21 10:52 更新\n\n[您使用了广告拦截器。请将 www.w3cschool.cn 加入白名单，解除广告屏蔽后，刷新页面。谢谢。](https:\/\/wwads.cn\/page\/whitelist-wwads)\n\n[TensorFlow 入门基础](\"TensorFlow 入门基础\")\n1. [TensorFlow 介绍](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-bm7y28si.html \"介绍TensorFlow\")\n2. [TensorFlow 下载与安装](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9rbt28sr.html \"下载与安装TensorFlow\")\n3. 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Boilerpipe Text	TensorFlow官方文档赞收藏更多文章目录搜索书签 TensorFlow 入门基础 TensorFlow 介绍 TensorFlow 下载与安装 TensorFlow 基本使用 TensorFlow 使用指南 assert和布尔值检查函数贝叶斯熵（contrib）贝叶斯蒙特卡罗（contrib）贝叶斯随机图（contrib）贝叶斯随机张量（contrib）贝叶斯变分推断（contrib）构建图生成常量，序列和随机值控制流程复制图形元素（contrib） CRF（contrib）数据IO（Python函数）使用FFmpeg（contrib）框架（contrib）图形编辑器（contrib）高阶函数直方图图像操作输入和读取器集成（contrib）层（contrib）高级API 线性代数库（contrib）损失（contrib）数学函数指标（contrib）神经网络优化（contrib）随机变量变换（contrib） RNN和单元（contrib）运行图 Seq2seq库（contrib）稀疏张量光谱函数统计分布（contrib）字符串操作摘要操作张量处理操作张量变换调试器测试 Training函数（contrib） Training函数实用程序（contrib）变量包装python函数将数据导入TensorFlow TensorFlow 函数介绍 TensorFlow 函数模块：tf TensorFlow app模块 TensorFlow bitwise模块 TensorFlow 元素按位与运算 TensorFlow bitwise_or运算 TensorFlow 元素按位异或 TensorFlow 翻转所有位元素 TensorFlow按位左移函数：tf.bitwise.left_shift TensorFlow按位右移函数：tf.bitwise.right_shift TensorFlow compat模块 TensorFlow 字节和Unicode转换 TensorFlow str的转换 TensorFlow 返回给定参数 TensorFlow函数：tf.compat.path_to_str TensorFlow contrib模块 TensorFlow 估计ELBO和KL散度中出现的比值 TensorFlow 计算Monte Carlo或Shannon熵的确定性 TensorFlow Renyi方法的使用 TensorFlow 计算Renyi分歧 TensorFlow Monte Carlo期望值计算 TensorFlow Monte Carlo重要性抽样估计 TensorFlow 对数空间的重要性抽样估计 TensorFlow 随机图的代理损失 TensorFlow 发出随机值的张量 TensorFlow 获取随机张量值类型 TensorFlow 随机张量值类型的MeanValue类 TensorFlow 具有观察值的 StochasticTensor TensorFlow绘制样本 TensorFlow StochasticTensor详细介绍 TensorFlow创建值类型上下文 TensorFlow 变分推理操作在TensorFlow中创建一个BigQueryReader TensorFlow中copy的使用方法 TensorFlow中与CRF有关的操作 TensorFlow使用Cudnn实现模型 TensorFlow处理RNN参数变量 TensorFlow的数据集 TensorFlow创建固定长度记录的Dataset TensorFlow 使用Iterator类 TensorFlow读取批处理 TensorFlow对数据集重新取样 TensorFlow文本文件行的数据集包含TFRecord文件记录的数据集 TensorFlow的errors模块 TensorFlow的errors模块总览 TensorFlow操作被中止 TensorFlow处理已存在的error TensorFlow取消操作或步骤时引发的error DataLossError类的使用处理DeadlineExceededError 处理FailedPreconditionError InternalError的处理 TensorFlow的InvalidArgumentError类 NotFoundError如何引发 TensorFlow操作迭代超过有效的输入范围 TensorFlow调用方没有运行操作权限怎么办 TensorFlow资源用尽引发的异常 TensorFlow无效身份验证引发的异常当前不可用的runtime异常 TensorFlow 操作未实现引发的异常 UnknownError异常 estimator模块 TensorFlow如何生成解析规范 TensorFlow如何使用DNN模型分类器 TensorFlow DNNLinear组合分类器的使用 TensorFlow DNN回归模型 TensorFlow DNN模型的回归器 TensorFlow的estimator类函数：tf.estimator.Estimator TensorFlow函数：tf.estimator.EstimatorSpec TensorFlow函数：tf.estimator.EvalSpec TensorFlow函数：tf.estimator.Exporter TensorFlow函数：tf.estimator.FinalExporter TensorFlow函数：tf.estimator.LatestExporter TensorFlow函数：tf.estimator.ModeKeys TensorFlow函数：tf.estimator.regressor_parse_example_spec TensorFlow函数：tf.estimator.RunConfig TensorFlow函数：tf.estimator.TrainSpec TensorFlow函数：tf.estimator.VocabInfo TensorFlow函数：tf.estimator.WarmStartSettings TensorFlow怎么使用gfile模块将TensorFlow文件数据复制到新路径文件I/O包装器 TensorFlow如何使用GFile类 TensorFlow返回模式匹配文件列表 TensorFlow函数：tf.gfile.IsDirectory TensorFlow函数：tf.gfile.ListDirectory TensorFlow函数：tf.gfile.MakeDirs TensorFlow函数：tf.gfile.MkDir TensorFlow函数：tf.gfile.Remove TensorFlow函数：tf.gfile.Rename TensorFlow函数：tf.gfile.Stat TensorFlow函数：tf.gfile.Walk TensorFlow的graph_util模块 TensorFlow如何用常量替换变量如何操作TensorFlow张量图的节点 TensorFlow函数：tf.graph_util.must_run_on_cpu TensorFlow函数：tf.graph_util.remove_training_nodes TensorFlow函数：tf.graph_util.tensor_shape_from_node_def_name TensorFlow的image模块 TensorFlow模块：tf.image TensorFlow函数：tf.image.adjust_brightness TensorFlow函数：tf.image.adjust_contrast TensorFlow函数：tf.image.adjust_gamma TensorFlow函数：tf.image.adjust_hue TensorFlow函数：tf.image.adjust_saturation TensorFlow函数：tf.image.central_crop TensorFlow函数：tf.image.convert_image_dtype TensorFlow函数：tf.image.crop_and_resize TensorFlow函数：tf.image.crop_to_bounding_box TensorFlow函数：tf.image.decode_and_crop_jpeg TensorFlow函数：tf.image.decode_bmp TensorFlow函数：tf.image.decode_gif TensorFlow函数：tf.image.decode_image TensorFlow函数：tf.image.decode_jpeg TensorFlow函数：tf.image.decode_png TensorFlow函数：tf.image.draw_bounding_boxes TensorFlow函数：tf.image.encode_jpeg TensorFlow函数：tf.image.encode_png TensorFlow函数：tf.image.extract_glimpse TensorFlow函数：tf.image.extract_jpeg_shape TensorFlow函数：tf.image.flip_left_right TensorFlow函数：tf.image.flip_up_down TensorFlow函数：tf.image.grayscale_to_rgb TensorFlow函数：tf.image.hsv_to_rgb TensorFlow函数：tf.image.image_gradients TensorFlow函数：tf.image.is_jpeg TensorFlow函数：tf.image.non_max_suppression TensorFlow函数：tf.image.pad_to_bounding_box TensorFlow函数：tf.image.per_image_standardization TensorFlow函数：tf.image.psnr TensorFlow函数：tf.image.random_brightness TensorFlow函数：tf.image.random_contrast TensorFlow函数：tf.image.random_flip_left_right TensorFlow函数：tf.image.random_flip_up_down TensorFlow函数：tf.image.random_hue TensorFlow函数：tf.image.random_saturation TensorFlow函数：tf.image.ResizeMethod TensorFlow函数：tf.image.resize_area TensorFlow函数：tf.image.resize_bicubic TensorFlow函数：tf.image.resize_bilinear TensorFlow函数：tf.image.resize_images TensorFlow函数：tf.image.resize_image_with_crop_or_pad TensorFlow函数：tf.image.resize_nearest_neighbor TensorFlow函数：tf.image.rgb_to_grayscale TensorFlow函数：tf.image.rgb_to_hsv TensorFlow函数：tf.image.rgb_to_yiq TensorFlow函数：tf.image.rgb_to_yuv TensorFlow函数：tf.image.rot90 TensorFlow函数：tf.image.sample_distorted_bounding_box TensorFlow函数：tf.image.sobel_edges TensorFlow函数：tf.image.ssim TensorFlow函数：tf.image.ssim_multiscale TensorFlow函数：tf.image.total_variation TensorFlow函数：tf.image.transpose_image TensorFlow函数：tf.image.yiq_to_rgb TensorFlow函数：tf.image.yuv_to_rgb TensorFlow使用之tf.initializers TensorFlow模块：tf.initializers TensorFlow函数：tf.initializers.identity TensorFlow使用之tf.io tf.io概览 decode_and_crop_jpeg decode_base64 decode_bmp decode_compressed decode_csv decode_gif decode_image decode_jpeg decode_json_example decode_png decode_raw deserialize_many_sparse encode_base64 encode_jpeg extract_jpeg_shape FixedLenFeature FixedLenSequenceFeature is_jpeg matching_files match_filenames_once PaddingFIFOQueue parse_example parse_sequence_example parse_single_example parse_single_sequence_example parse_tensor read_file serialize_many_sparse serialize_sparse serialize_tensor SparseFeature TFRecordCompressionType TFRecordOptions TFRecordWriter tf_record_iterator VarLenFeature write_file write_graph gfile copy exists GFile glob isdir listdir makedirs mkdir remove rename rmtree stat walk TensorFlow使用之tf.keras TensorFlow模块：tf.keras Input activations deserialize elu exponential get hard_sigmoid linear relu selu serialize sigmoid softmax softplus softsign tanh applications backend abs all any arange argmax argmin backend batch_dot batch_flatten batch_get_value batch_normalization batch_set_value bias_add binary_crossentropy cast cast_to_floatx categorical_crossentropy clear_session clip concatenate constant conv1d conv2d conv2d_transpose conv3d cos count_params ctc_batch_cost ctc_decode ctc_label_dense_to_sparse dot dropout dtype elu epsilon equal eval exp expand_dims eye flatten floatx foldl foldr function gather get_session get_uid get_value gradients greater greater_equal hard_sigmoid image_data_format int_shape in_test_phase in_top_k in_train_phase is_sparse l2_normalize learning_phase less less_equal log manual_variable_initialization map_fn max maximum mean min minimum moving_average_update ndim normalize_batch_in_training not_equal ones ones_like one_hot permute_dimensions placeholder pool2d pool3d pow print_tensor prod random_binomial random_normal random_normal_variable random_uniform random_uniform_variable relu repeat repeat_elements reset_uids reshape resize_images resize_volumes reverse rnn round separable_conv2d set_epsilon set_floatx set_image_data_format set_learning_phase set_session set_value shape sigmoid sign sin softmax softplus softsign sparse_categorical_crossentropy spatial_2d_padding spatial_3d_padding sqrt square squeeze stack std stop_gradient callbacks BaseLogger Callback CSVLogger EarlyStopping History LambdaCallback LearningRateScheduler ModelCheckpoint ProgbarLogger ReduceLROnPlateau RemoteMonitor TensorBoard TerminateOnNaN TensorFlow使用之tf.layers TensorFlow模块：tf.layers TensorFlow函数：tf.layers.AveragePooling1D TensorFlow函数：tf.layers.AveragePooling2D TensorFlow函数：tf.layers.AveragePooling3D TensorFlow函数：tf.layers.average_pooling1d TensorFlow函数：tf.layers.average_pooling2d TensorFlow函数：tf.layers.average_pooling3d TensorFlow函数：tf.layers.batch_normalization TensorFlow函数：tf.layers.Conv1D TensorFlow函数：tf.layers.Conv2D TensorFlow函数：tf.layers.Conv2DTranspose TensorFlow函数：tf.layers.conv2d_transpose TensorFlow函数：tf.layers.Conv3D TensorFlow函数：tf.layers.conv3d_transpose TensorFlow函数：tf.layers.InputSpec TensorFlow函数：tf.layers.Conv3DTranspose TensorFlow函数：tf.layers.Dense TensorFlow函数：tf.layers.Dropout TensorFlow函数：tf.layers.Flatten TensorFlow函数：tf.layers.Layer TensorFlow函数：tf.layers.MaxPooling1D TensorFlow函数：tf.layers.MaxPooling2D TensorFlow函数：tf.layers.MaxPooling3D TensorFlow函数：tf.layers.max_pooling1d TensorFlow函数：tf.layers.max_pooling2d TensorFlow函数：tf.layers.max_pooling3d TensorFlow函数：tf.layers.SeparableConv1D TensorFlow函数：tf.layers.SeparableConv2D TensorFlow函数：tf.layers.separable_conv1d TensorFlow函数：tf.layers.separable_conv2d TensorFlow函数：tf.layers.BatchNormalization TensorFlow使用之Python/tf.linalg TensorFlow模块：tf.linalg TensorFlow函数：tf.linalg.adjoint TensorFlow函数：tf.linalg.expm TensorFlow函数：tf.linalg.logdet TensorFlow函数：tf.linalg.logm TensorFlow函数：tf.linalg.slogdet TensorFlow函数：tf.linalg.LinearOperator TensorFlow使用之tf.logging TensorFlow模块：tf.logging TensorFlow函数：tf.logging.debug TensorFlow函数：tf.logging.error TensorFlow函数：tf.logging.fatal TensorFlow函数：tf.logging.flush TensorFlow函数：tf.logging.get_verbosity TensorFlow函数：tf.logging.info TensorFlow函数：tf.logging.log TensorFlow函数：tf.logging.log_every_n TensorFlow函数：tf.logging.log_first_n TensorFlow函数：tf.logging.log_if TensorFlow函数：tf.logging.set_verbosity TensorFlow函数：tf.logging.TaskLevelStatusMessage TensorFlow函数：tf.logging.vlog TensorFlow函数：tf.logging.warn TensorFlow函数：tf.logging.warning TensorFlow使用之tf.losses TensorFlow模块：tf.losses TensorFlow函数：tf.losses.absolute_difference TensorFlow函数：tf.losses.add_loss TensorFlow函数：tf.losses.compute_weighted_loss TensorFlow函数：tf.losses.cosine_distance TensorFlow函数：tf.losses.get_losses TensorFlow函数：tf.losses.get_regularization_loss TensorFlow函数：tf.losses.get_regularization_losses TensorFlow函数：tf.losses.get_total_loss TensorFlow函数：tf.losses.hinge_loss TensorFlow函数：tf.losses.huber_loss TensorFlow函数：tf.losses.log_loss TensorFlow函数：tf.losses.mean_pairwise_squared_error TensorFlow函数：tf.losses.mean_squared_error TensorFlow函数：tf.losses.Reduction TensorFlow函数：tf.losses.sigmoid_cross_entropy TensorFlow函数：tf.losses.softmax_cross_entropy TensorFlow函数：tf.losses.sparse_softmax_cross_entropy TensorFlow使用之tf.math TensorFlow模块：tf.math TensorFlow函数：tf.math.polyval TensorFlow使用之tf.metrics TensorFlow模块：tf.metrics TensorFlow函数：tf.metrics.accuracy TensorFlow函数：tf.metrics.auc TensorFlow函数：tf.metrics.average_precision_at_k TensorFlow函数：tf.metrics.false_negatives TensorFlow函数：tf.metrics.false_negatives_at_thresholds TensorFlow函数：tf.metrics.false_positives TensorFlow函数：tf.metrics.false_positives_at_thresholds TensorFlow函数：tf.metrics.mean TensorFlow函数：tf.metrics.mean_absolute_error TensorFlow函数：tf.metrics.mean_cosine_distance TensorFlow函数：tf.metrics.mean_iou TensorFlow函数：tf.metrics.mean_per_class_accuracy TensorFlow函数：tf.metrics.mean_relative_error TensorFlow函数：tf.metrics.mean_squared_error TensorFlow函数：tf.metrics.mean_tensor TensorFlow函数：tf.metrics.percentage_below TensorFlow函数：tf.metrics.precision TensorFlow函数：tf.metrics.precision_at_k TensorFlow函数：tf.metrics.precision_at_thresholds TensorFlow函数：tf.metrics.precision_at_top_k TensorFlow函数：tf.metrics.recall TensorFlow函数：tf.metrics.recall_at_k TensorFlow函数：tf.metrics.recall_at_thresholds TensorFlow函数：tf.metrics.recall_at_top_k TensorFlow函数：tf.metrics.root_mean_squared_error TensorFlow函数：tf.metrics.sensitivity_at_specificity TensorFlow函数：tf.metrics.sparse_average_precision_at_k TensorFlow函数：tf.metrics.sparse_precision_at_k TensorFlow函数：tf.metrics.specificity_at_sensitivity TensorFlow函数：tf.metrics.true_negatives TensorFlow函数：tf.metrics.true_negatives_at_thresholds TensorFlow函数：tf.metrics.true_positives TensorFlow函数：tf.metrics.true_positives_at_thresholds TensorFlow使用之tf.manip TensorFlow模块：tf.manip TensorFlow函数：tf.manip.roll TensorFlow使用之tf.nn tf.nn概览 all_candidate_sampler atrous_conv2d atrous_conv2d_transpose avg_pool avg_pool3d batch_normalization batch_norm_with_global_normalization bias_add bidirectional_dynamic_rnn compute_accidental_hits conv1d conv2d conv2d_backprop_filter conv2d_backprop_input conv2d_transpose conv3d conv3d_backprop_filter_v2 conv3d_transpose convolution crelu ctc_beam_search_decoder ctc_greedy_decoder ctc_loss depthwise_conv2d depthwise_conv2d_native depthwise_conv2d_native_backprop_filter depthwise_conv2d_native_backprop_input dilation2d dropout dynamic_rnn elu embedding_lookup embedding_lookup_sparse erosion2d fixed_unigram_candidate_sampler fractional_avg_pool fractional_max_pool fused_batch_norm in_top_k l2_loss l2_normalize leaky_relu learned_unigram_candidate_sampler local_response_normalization log_poisson_loss log_softmax log_uniform_candidate_sampler max_pool max_pool3d max_pool_with_argmax moments nce_loss normalize_moments pool quantized_avg_pool quantized_conv2d quantized_max_pool quantized_relu_x relu relu6 relu_layer selu separable_conv2d sigmoid_cross_entropy_with_logits softmax softmax_cross_entropy_with_logits softmax_cross_entropy_with_logits_v2 softsign space_to_batch space_to_depth sparse_softmax_cross_entropy_with_logits static_bidirectional_rnn static_rnn static_state_saving_rnn sufficient_statistics weighted_cross_entropy_with_logits weighted_moments with_space_to_batch xw_plus_b TensorFlow使用之tf.profiler tf.profiler概览 AdviceProto AdviceProto.Checker AdviceProto.CheckersEntry advise GraphNodeProto GraphNodeProto.InputShapesEntry MultiGraphNodeProto OpLogProto OpLogProto.IdToStringEntry profile ProfileOptionBuilder Profiler write_op_log TensorFlow使用之tf.python_io tf.python_io概览 TensorFlow使用之tf.queue PriorityQueue QueueBase 如何导出estimator TensorFlow解析Example TensorFlow分类头的输出设置 TensorFlow使用之tf.lite tf.lite概览 Interpreter OpHint OpHintArgumentTracker OpsSet TFLiteConverter TocoConverter toco_convert TensorFlow 功能函数 TensorFlow 计算张量的绝对值 TensorFlow 返回张量列表的元素和 TensorFlow 计算张量元素的 acos TensorFlow 计算张量的和 TensorFlow check_numerics操作 TensorFlow 添加张量元素 TensorFlow 包装Graph.add_to TensorFlow 梯度组合 TensorFlow 返回张量的最大值索引 TensorFlow 返回张量的最小值索引 TensorFlow 返回张量维度上最大值的索引 TensorFlow 返回张量维度上最小值的索引 TensorFlow 计算asin中的元素 TensorFlow中Assert相关函数说明 TensorFlow中assign函数说明 TensorFlow 将给定的 type_value 转换为 DType TensorFlow 将给定张量的条目转换为字符串 TensorFlow 计算元素的反正切 TensorFlow AttrValue类 TensorFlow BatchToSpace的使用 TensorFlow 计算正则化的不完全beta积分 TensorFlow 计算整数数组值出现的次数 TensorFlow 张量类型转换 TensorFlow 在张量上应用布尔掩码 TensorFlow 返回广播形状 TensorFlow 创建case TensorFlow 张量投射 TensorFlow 使用ceil返回不下于x的最小整数 TensorFlow 检查NaN和Inf值的张量 TensorFlow计算方阵的Cholesky分解将TensorFlow张量值剪辑到最大平均L2-norm TensorFlow通过规范总和的比例剪切张量的值 TensorFlow 将张量值剪辑到最大 L2-norm TensorFlow 将张量剪辑为指定的最大值和最小值 TensorFlow 将实数转换为复数 TensorFlow 将张量沿一个维度串联 TensorFlow tf.cond函数的使用 TensorFlow聚合梯度的条件累加器如何使用ConditionalAccumulatorBase TensorFlow如何计算混淆矩阵如何使用conj 在TensorFlow中使用constant函数 TensorFlow使用初始化器生成具有常量值的张量 container的使用 control_dependencies的使用 TensorFlow将给定值转换为张量 TensorFlow将给定的对象转换为张量或IndexedSlices TensorFlow将值转换为SparseTensor或张量计算TensorFlow元素的cos值 TensorFlow元素的双曲余弦计算TensorFlow中非零元素的个数 TensorFlow对ref进行递增 TensorFlow怎么创建分区变量列表计算张量沿轴的累积积 TensorFlow张量的累积和 TensorFlow字符串解码 TensorFlow CSV转换 JSON编码的示例记录转换 TensorFlow将raw格式转换为张量 TensorFlow数据从深度排列为空间数据块反量化TensorFlow张量 TensorFlow设备规范使用diag返回对角张量 TensorFlow如何返回对角线 TensorFlow除法运算使用Dimension类 TensorFlow张量的元素类型 TensorFlow分区索引的使用如何插入TensorFlow数据张量的值计算TensorFlow序列之间的编辑距离 TensorFlow如何实现张量收缩 TensorFlow实现字符串编码 TensorFlow怎么使用equal函数 TensorFlow误差函数计算计算TensorFlow元素的指数如何在TensorFlow张量形状中插入维度构造TensorFlow的单位矩阵怎么对TensorFlow进行假量化 TensorFlow快速傅里叶变换利用标量值填充TensorFlow张量 TensorFlow怎么解析固定长度输入功能 TensorFlow从文件中输出记录的读取器如何将TensorFlow输入特征解析为张量如何使用TensorFlow的floor函数 TensorFlow函数：tf.floormod TensorFlow高阶函数：tf.foldl TensorFlow张量变换函数：tf.gather TensorFlow函数：tf.gather_nd TensorFlow函数：get_collection default函数 TensorFlow函数：get_session_handle TensorFlow变量函数：tf.get_local_variable tf.get_variable函数 TensorFlow全局函数：tf.global_norm 使用global_variables获取全局变量 TensorFlow初始化器 TensorFlow梯度计算：tf.gradients tf.GraphKeys函数 TensorFlow比较函数：tf.greater TensorFlow流程控制函数：tf.group Hessian函数 TensorFlow逆向快速傅里叶变换函数 Gamma函数 TensorFlow复数函数：tf.imag TensorFlow图形处理函数：tf.import_graph_def TensorFlow函数：IndexedSlices tf.invert_permutation：张量的逆置换 TensorFlow使用isnan函数 TensorFlow数学函数：tf.lbeta TensorFlow函数：tf.less TensorFlow函数：tf.lin_space LMDB文件读取器加载TensorFlow插件的函数 TensorFlow局部变量：tf.local_variables tf.log：计算TensorFlow的自然对数 TensorFlow函数：logical TensorFlow变量函数：tf.make_template 创建TensorProto TensorFlow：tf.map_fn函数 TensorFlow：tf.matching_files函数 TensorFlow：tf.matmul函数 TensorFlow矩阵数学函数：tf.matrix_band_part TensorFlow计算方阵行列式的函数 TensorFlow：tf.matrix_diag函数 TensorFlow：tf.matrix_inverse函数 TensorFlow函数：tf.matrix_set_diag TensorFlow函数：tf.matrix_solve TensorFlow函数：tf.matrix_solve_ls TensorFlow函数：tf.matrix_transpose TensorFlow函数：tf.matrix_triangular_solve TensorFlow数学函数：tf.maximum TensorFlow张量变换：tf.meshgrid TensorFlow数学函数：tf.minimum TensorFlow变量：tf.min_max_variable_partitioner multinomial函数：从多项式分布中抽取样本 TensorFlow构建图形：tf.name_scope函数 TensorFlow函数：tf.negative TensorFlow范数：tf.norm函数 TensorFlow比较运算符：tf.not_equal TensorFlow函数：tf.ones TensorFlow函数：tf.ones_initializer TensorFlow函数：tf.ones_like tf.one_hot函数：返回one-hot张量 TensorFlow函数：tf.OpError tf.orthogonal_initializer函数：正交矩阵的初始化器 TensorFlow填充张量函数：tf.pad TensorFlow函数：tf.parallel_stack 解析Example原型：tf.parse_single_example TensorFlow占位符：tf.placeholder TensorFlow函数：tf.parse_example TensorFlow函数：解析SequenceExample原型 TensorFlow占位符操作：tf.placeholder_with_default TensorFlow幂值计算函数：tf.pow tf.Print函数：打印张量列表包装用于TensorFlow操作的Python函数 tf.qr函数：计算矩阵的QR分解 TensorFlow函数：tf.quantized_concat TensorFlow张量变换函数：tf.quantize_v2 TensorFlow函数：tf.random_crop TensorFlow队列函数：tf.QueueBase TensorFlow函数：tf.random_gamma TensorFlow随机值：tf.random_normal函数 tf.random_normal_initializer：TensorFlow初始化器 TensorFlow函数：tf.random_poisson TensorFlow函数：tf.random_shuffle TensorFlow随机值函数：tf.random_uniform TensorFlow函数：tf.random_uniform_initializer tf.range函数：创建数字序列 tf.rank函数：返回TensorFlow张量的秩 TensorFlow读取器基类：tf.ReaderBase TensorFlow函数：tf.real tf.realdiv函数：x/y元素的实数类型用于计算倒数的tf.reciprocal函数 tf.reduce_all函数：计算张量在维度上的逻辑和 TensorFlow函数：tf.reduce_any tf.reduce_join函数：添加字符串张量 TensorFlow函数：tf.reduce_logsumexp TensorFlow函数：tf.reduce_max TensorFlow函数：tf.reduce_mean TensorFlow函数：tf.reduce_min TensorFlow函数：tf.reduce_prod TensorFlow函数：tf.reduce_sum TensorFlow函数：tf.RegisterGradient TensorFlow函数：将base_type的对象转换为Tensor TensorFlow：tf.report_uninitialized_variables函数 TensorFlow函数：如何计算填充 TensorFlow：tf.reset_default_graph函数 TensorFlow：使用tf.reshape函数重塑张量 TensorFlow：tf.reverse函数 TensorFlow函数：tf.reverse_sequence tf.reverse_v2函数：反转张量的特定维度 TensorFlow：tf.rint函数 TensorFlow四舍五入：tf.round函数 tf.rsqrt函数：TensorFlow平方根倒数计算 TensorFlow函数：tf.RunOptions TensorFlow函数：tf.saturate_cast TensorFlow数学函数：tf.scalar_mul TensorFlow函数：tf.scatter_nd TensorFlow变量函数：tf.scatter_nd_add TensorFlow：tf.scatter_nd_sub函数 TensorFlow函数：tf.scatter_nd_update TensorFlow函数：tf.scatter_sub tf.scatter_update函数：将稀疏更新应用于变量引用 tf.segment_max函数：计算一个张量的最大沿段 TensorFlow：tf.segment_mean函数 TensorFlow：tf.segment_min函数 TensorFlow：tf.segment_prod函数 TensorFlow数学函数：tf.segment_sum函数 TensorFlow数学函数：tf.self_adjoint_eig TensorFlow数学函数：tf.self_adjoint_eigvals TensorFlow张量变换函数：tf.sequence_mask TensorFlow：tf.serialize_many_sparse 函数 TensorFlow：tf.serialize_sparse函数 TensorFlow：tf.serialize_tensor函数 TensorFlow数学函数：tf.setdiff1d TensorFlow随机张量：tf.set_random_seed函数 TensorFlow：tf.Session函数 TensorFlow张量变换函数：tf.shape TensorFlow：tf.shape_n函数 TensorFlow神经网络：tf.sigmoid函数 TensorFlow数学函数：tf.sign TensorFlow数学函数：tf.sin函数 TensorFlow数学函数：tf.sinh函数 TensorFlow张量变换：tf.size TensorFlow分割：tf.slice函数 TensorFlow：tf.space_to_batch函数 TensorFlow张量变换：tf.space_to_batch_nd函数 TensorFlow：tf.space_to_depth函数 TensorFlow：tf.SparseConditionalAccumulator函数 TensorFlow函数：tf.SparseFeature TensorFlow稀疏张量函数：tf.SparseTensor TensorFlow函数：tf.SparseTensorValue TensorFlow函数：tf.sparse_add TensorFlow函数：tf.sparse_concat TensorFlow函数：tf.sparse_fill_empty_rows TensorFlow函数：tf.sparse_mask TensorFlow函数：tf.sparse_matmul TensorFlow稀疏张量：tf.sparse_maximum函数 TensorFlow稀疏张量：tf.sparse_merge函数 TensorFlow函数：tf.sparse_minimum TensorFlow函数：tf.sparse_placeholder TensorFlow函数：tf.sparse_reduce_max TensorFlow函数：tf.sparse_reduce_max_sparse TensorFlow函数：tf.sparse_reduce_sum TensorFlow函数：tf.sparse_reduce_sum_sparse TensorFlow函数：tf.sparse_reorder TensorFlow函数：tf.sparse_reset_shape TensorFlow函数：tf.sparse_reshape TensorFlow函数：tf.sparse_retain TensorFlow函数：tf.sparse_segment_mean TensorFlow函数：tf.sparse_segment_sqrt_n TensorFlow数学函数：tf.sparse_segment_sum TensorFlow函数：tf.sparse_slice TensorFlow函数：tf.sparse_softmax TensorFlow函数：tf.sparse_split TensorFlow函数：tf.sparse_tensor_dense_matmul TensorFlow函数：tf.sparse_tensor_to_dense TensorFlow函数：tf.sparse_to_dense TensorFlow函数：tf.sparse_to_indicator TensorFlow函数：tf.sparse_transpose TensorFlow函数：tf.split TensorFlow函数：tf.sqrt TensorFlow函数：tf.square TensorFlow函数：tf.squared_difference TensorFlow函数：tf.squeeze TensorFlow函数：tf.stack TensorFlow函数：tf.stop_gradient TensorFlow函数：tf.strided_slice TensorFlow函数：tf.string_join TensorFlow函数：tf.string_split TensorFlow函数：tf.string_to_hash_bucket TensorFlow函数：tf.string_to_hash_bucket_fast TensorFlow函数：tf.string_to_hash_bucket_strong TensorFlow函数：tf.string_to_number TensorFlow函数：tf.substr TensorFlow函数：tf.subtract TensorFlow：Summary类 TensorFlow函数：tf.svd TensorFlow函数：tf.tables_initializer TensorFlow函数：tf.tan TensorFlow函数：tf.tanh TensorFlow函数：tf.tensordot TensorFlow函数：tf.TextLineReader TensorFlow函数：tf.tile TensorFlow函数：tf.to_bfloat16 TensorFlow函数：tf.to_double TensorFlow函数：tf.to_float TensorFlow函数：tf.to_int32 TensorFlow函数：tf.to_int64 TensorFlow函数：tf.trace TensorFlow函数：tf.trainable_variables TensorFlow函数：tf.transpose TensorFlow函数：tf.truediv TensorFlow函数：tf.truncatediv TensorFlow函数：tf.truncated_normal TensorFlow函数：tf.truncated_normal_initializer TensorFlow函数：tf.truncatemod TensorFlow函数：tf.tuple TensorFlow函数：tf.uniform_unit_scaling_initializer TensorFlow函数：tf.unique TensorFlow函数：tf.unique_with_counts TensorFlow函数：tf.unravel_index TensorFlow函数：tf.unsorted_segment_max TensorFlow函数：tf.unsorted_segment_sum TensorFlow函数：tf.unstack TensorFlow函数：tf.variables_initializer TensorFlow函数：tf.variable_axis_size_partitioner TensorFlow函数：tf.variable_op_scope TensorFlow函数：tf.variable_scope TensorFlow函数：tf.variance_scaling_initializer TensorFlow函数：tf.VarLenFeature TensorFlow函数：tf.verify_tensor_all_finite TensorFlow函数：tf.where TensorFlow函数：tf.while_loop TensorFlow函数：tf.WholeFileReader TensorFlow函数：tf.write_file TensorFlow函数：tf.zeros TensorFlow函数：tf.zeros_initializer TensorFlow函数：tf.zeros_like TensorFlow函数：tf.zeta TensorFlow 手写数字分类问题 TensorFlow的MNIST手写数字分类问题基础篇 TensorFlow的MNIST手写数字分类问题进阶篇阅读(11.6k) 书签赞 ( 3 ) 我要纠错 2018-08-21 10:52 更新您使用了广告拦截器。请将 www.w3cschool.cn 加入白名单，解除广告屏蔽后，刷新页面。谢谢。 TensorFlow 入门基础 TensorFlow 介绍 TensorFlow 下载与安装 TensorFlow 基本使用以上内容是否对您有帮助：介绍TensorFlow → 写笔记我要补充您使用了广告拦截器。请将 www.w3cschool.cn 加入白名单，解除广告屏蔽后，刷新页面。谢谢。推荐文章 W3Cschool 热门编程语言排行榜 2020年 10月 TOP10 几种后端开发中常用的语言。 2020年10月编程语言排行榜：Python 即将超越 Java 怎么查看python版本？有几种方法？ python怎么保留两位小数?几种方法总结！推荐教程 Python3 教程 PyTorch 中文教程 Django3 中文教程 pytest教程腾讯代码安全指南推荐课程 Python 数据科学入门 Python Flask 开发 Web 服务 Scrapy框架实战：制作图片爬虫 Python 并发编程实战 Python零基础15天入门到精通 Copyright©2021 w3cschool 编程狮 \| 闽ICP备15016281号-3 \| 闽公网安备35020302033924号违法和不良信息举报电话：173-0602-2364 \| 举报邮箱：jubao@eeedong.com
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[TensorFlow 入门基础]("TensorFlow 入门基础") 1. [TensorFlow 介绍](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bm7y28si.html "介绍TensorFlow") 2. [TensorFlow 下载与安装](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9rbt28sr.html "下载与安装TensorFlow") 3. [TensorFlow 基本使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fibz28ss.html "TensorFlow的基本使用") 2. [TensorFlow 使用指南]("TensorFlow 指南") 1. [assert和布尔值检查函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d64v28su.html "TensorFlow assert和布尔值检查函数") 2. [贝叶斯熵（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hs4q28sv.html "TensorFlow贝叶斯熵（contrib）") 3. [贝叶斯蒙特卡罗（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-32bu28sw.html "TensorFlow 贝叶斯蒙特卡罗（contrib）") 4. [贝叶斯随机图（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jne328sx.html "TensorFlow 贝叶斯随机图（contrib）") 5. [贝叶斯随机张量（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7khf28sy.html "TensorFlow 贝叶斯随机张量（contrib）") 6. [贝叶斯变分推断（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qyo528sz.html "TensorFlow 贝叶斯变分推断（contrib）") 7. [构建图](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-31iw28tv.html "TensorFlow 构建图") 8. [生成常量，序列和随机值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-efts28tw.html "TensorFlow生成常量，序列和随机值") 9. [控制流程](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9su628tx.html "TensorFlow 控制流程") 10. [复制图形元素（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9jqm28ty.html "TensorFlow 复制图形元素（contrib）") 11. [CRF（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7kxc28tz.html "TensorFlow CRF（contrib）") 12. [数据IO（Python函数）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rc6y28u0.html "TensorFlow 数据IO（Python函数）") 13. [使用FFmpeg（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vyw628u1.html "TensorFlow使用FFmpeg（contrib）") 14. [框架（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-719s28u7.html "TensorFlow 框架（contrib）") 15. [图形编辑器（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6jpe28u8.html "TensorFlow图形编辑器（contrib）") 16. [高阶函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-smr728ub.html "TensorFlow 高阶函数") 17. [直方图](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rujw28uc.html "TensorFlow直方图") 18. [图像操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-36ws28ue.html "TensorFlow图像操作") 19. [输入和读取器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s7pv28uf.html "TensorFlow 输入和读取器") 20. [集成（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-16zs28ug.html "TensorFlow的集成（contrib）") 21. [层（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ugo128uh.html "TensorFlow层（contrib）") 22. [高级API](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-v53828uj.html "学习TensorFlow的高级API") 23. [线性代数库（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-52z428uk.html "TensorFlow 线性代数库（contrib）") 24. [损失（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-volg28ul.html "TensorFlow损失（contrib）") 25. [数学函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u7wa28vm.html "TensorFlow 数学函数") 26. [指标（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c7p628vn.html "TensorFlow 指标（contrib）") 27. [神经网络](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kd5h28vo.html "TensorFlow 神经网络") 28. [优化（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2ohy28vp.html "TensorFlow 优化（contrib）") 29. [随机变量变换（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-onrv28vq.html "TensorFlow 随机变量变换（contrib）") 30. [RNN和单元（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l8ba28vr.html "TensorFlow RNN和单元（contrib）") 31. [运行图](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lfi528vs.html "TensorFlow 运行图") 32. [Seq2seq库（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i8jh28vt.html "TensorFlow Seq2seq库（contrib）") 33. [稀疏张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pflh28vu.html "TensorFlow 稀疏张量") 34. [光谱函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aij928yl.html "TensorFlow 光谱函数") 35. [统计分布（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hilj28ym.html "TensorFlow 统计分布（contrib）") 36. [字符串操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-duwl28yn.html "TensorFlow 字符串操作") 37. [摘要操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3jkf28yp.html "TensorFlow 摘要操作") 38. [张量处理操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gnwm2c68.html "TensorFlow 张量处理操作") 39. [张量变换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-85v22c69.html "TensorFlow 张量变换") 40. [调试器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-91qg2c6a.html "TensorFlow调试器") 41. [测试](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9nqv2c6b.html "TensorFlow 测试") 42. [Training函数（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-31ld2c6d.html "TensorFlow Training函数（contrib）") 43. [Training函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-y6p82c6e.html "TensorFlow Training函数") 44. [实用程序（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wguk2c6f.html "TensorFlow 实用程序（contrib）") 45. [变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rv8u2c6g.html "TensorFlow 变量") 46. [包装python函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2u1x2c6h.html "TensorFlow 包装python函数") 47. [将数据导入TensorFlow](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-urli2dhu.html "将数据导入TensorFlow") 3. [TensorFlow 函数介绍](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s17p28vv.html "TensorFlow 函数介绍") 1. [TensorFlow 函数模块：tf]("TensorFlow 函数模块：tf") 1. [TensorFlow app模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-58lx2coj.html "TensorFlow app模块") 2. [TensorFlow bitwise模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qiut2d8o.html "bitwise模块") 1. [TensorFlow 元素按位与运算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-xpga2d8p.html "TensorFlow元素按位与运算") 2. [TensorFlow bitwise\_or运算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6r8y2d8q.html "bitwise_or运算") 3. [TensorFlow 元素按位异或](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qle82d8u.html "TensorFlow元素按位异或") 4. [TensorFlow 翻转所有位元素](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cfxe2d8v.html "翻转TensorFlow所有位元素") 5. [TensorFlow按位左移函数：tf.bitwise.left\_shift](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wefa2ov7.html "TensorFlow按位左移函数：tf.bitwise.left_shift") 6. [TensorFlow按位右移函数：tf.bitwise.right\_shift](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zu172ova.html "TensorFlow按位右移函数：tf.bitwise.right_shift") 3. [TensorFlow compat模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-32xo2col.html "TensorFlow compat模块") 1. [TensorFlow 字节和Unicode转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-m8el2com.html "TensorFlow 字节和Unicode转换") 2. [TensorFlow str的转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fcbk2con.html "TensorFlow str的转换") 3. [TensorFlow 返回给定参数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-oaet2coo.html "TensorFlow 返回给定参数") 4. [TensorFlow函数：tf.compat.path\_to\_str](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ijhd2oya.html "TensorFlow函数：tf.compat.path_to_str") 4. [TensorFlow contrib模块]("TensorFlow contrib模块") 1. [TensorFlow 估计ELBO和KL散度中出现的比值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6t8228wb.html "TensorFlow 估计ELBO和KL散度中出现的比值") 2. [TensorFlow 计算Monte Carlo或Shannon熵的确定性](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c6ez28xm.html "TensorFlow 计算Monte Carlo或Shannon熵的确定性") 3. [TensorFlow Renyi方法的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jz2w28xn.html "TensorFlow Renyi方法的使用") 4. [TensorFlow 计算Renyi分歧](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nxd828xp.html "TensorFlow 计算Renyi分歧") 5. [TensorFlow Monte Carlo期望值计算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ki5j28xq.html "TensorFlow Monte Carlo期望值计算") 6. [TensorFlow Monte Carlo重要性抽样估计](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ncw28yi.html "TensorFlow Monte Carlo重要性抽样估计") 7. [TensorFlow 对数空间的重要性抽样估计](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l69t28yj.html "TensorFlow 对数空间的重要性抽样估计") 8. [TensorFlow 随机图的代理损失](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3szt2c8q.html "TensorFlow 随机图的代理损失") 9. [TensorFlow 发出随机值的张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gjl12c8u.html "TensorFlow 发出随机值的张量") 10. [TensorFlow 获取随机张量值类型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p4t22c8x.html "TensorFlow 获取随机张量值类型") 11. [TensorFlow 随机张量值类型的MeanValue类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1i7f2c8z.html "TensorFlow 随机张量值类型的MeanValue类") 12. [TensorFlow 具有观察值的 StochasticTensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ti6y2cb9.html "TensorFlow 具有观察值的 StochasticTensor") 13. [TensorFlow绘制样本](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qbe92cbc.html "TensorFlow绘制样本") 14. [TensorFlow StochasticTensor详细介绍](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1hf42cbg.html "TensorFlow StochasticTensor详细介绍") 15. [TensorFlow创建值类型上下文](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bvh12cbi.html "TensorFlow创建值类型上下文") 16. [TensorFlow 变分推理操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7f3u2cbl.html "TensorFlow 变分推理操作") 17. [在TensorFlow中创建一个BigQueryReader](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9hat2cby.html "在TensorFlow中创建一个BigQueryReader") 18. [TensorFlow中copy的使用方法](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2giy2cci.html "TensorFlow中copy的使用方法") 19. [TensorFlow中与CRF有关的操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ivh2cct.html "TensorFlow中与CRF有关的操作") 20. [TensorFlow使用Cudnn实现模型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3rto2cg1.html "TensorFlow使用Cudnn实现模型") 21. [TensorFlow处理RNN参数变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-23ue2cgp.html "TensorFlow处理RNN参数变量") 22. [TensorFlow的数据集](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pqdr2cqn.html "TensorFlow的数据集") 23. [TensorFlow创建固定长度记录的Dataset](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1bi62crg.html "TensorFlow创建固定长度记录的Dataset") 24. [TensorFlow 使用Iterator类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yw2d2da8.html "使用Iterator类") 25. [TensorFlow读取批处理](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nari2da9.html "TensorFlow读取批处理") 26. [TensorFlow对数据集重新取样](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6qba2dbp.html "TensorFlow对数据集重新取样") 27. [TensorFlow文本文件行的数据集](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8pwb2dbr.html "TensorFlow文本文件行的数据集") 28. [包含TFRecord文件记录的数据集](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2rpy2dko.html "包含TFRecord文件记录的数据集") 5. [TensorFlow的errors模块]("TensorFlow的errors模块") 1. [TensorFlow的errors模块总览](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7rsk2ctr.html "TensorFlow的errors模块总览") 2. [TensorFlow操作被中止](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b9o12ctt.html "TensorFlow操作被中止") 3. [TensorFlow处理已存在的error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-345n2czg.html "TensorFlow处理已存在的error") 4. [TensorFlow取消操作或步骤时引发的error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lyao2d13.html "TensorFlow取消操作或步骤时引发的error") 5. [DataLossError类的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jkzn2d16.html "DataLossError类的使用") 6. [处理DeadlineExceededError](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d9tr2d17.html "处理DeadlineExceededError") 7. [处理FailedPreconditionError](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wn6p2d19.html "处理FailedPreconditionError") 8. [InternalError的处理](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rp6e2d1a.html "InternalError的处理") 9. [TensorFlow的InvalidArgumentError类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uikg2d1b.html "TensorFlow的InvalidArgumentError类") 10. [NotFoundError如何引发](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-t62e2d50.html "NotFoundError如何引发") 11. [TensorFlow操作迭代超过有效的输入范围](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9buk2d51.html "TensorFlow操作迭代超过有效的输入范围") 12. [TensorFlow调用方没有运行操作权限怎么办](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gpte2d52.html "TensorFlow调用方没有运行操作权限怎么办") 13. [TensorFlow资源用尽引发的异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vbq62dc4.html "TensorFlow资源用尽引发的异常") 14. [TensorFlow无效身份验证引发的异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7u492dph.html "TensorFlow无效身份验证引发的异常") 15. [当前不可用的runtime异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wlqf2dpl.html "当前不可用的runtime异常") 16. [TensorFlow 操作未实现引发的异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3bme2dsc.html "操作未实现会引发TensorFlow异常吗") 17. [UnknownError异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gwvy2dsi.html "UnknownError异常") 6. [estimator模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-xp3r2dl5.html "estimator模块") 1. [TensorFlow如何生成解析规范](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zwy42doy.html "TensorFlow如何生成解析规范") 2. [TensorFlow如何使用DNN模型分类器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9qls2dp4.html "如何使用DNN模型分类器") 3. [TensorFlow DNNLinear组合分类器的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4gn82dty.html "DNNLinear组合分类器的使用") 4. [TensorFlow DNN回归模型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9s7b2e08.html "DNN回归模型") 5. [TensorFlow DNN模型的回归器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-61mk2e0b.html "DNN模型的回归器") 6. [TensorFlow的estimator类函数：tf.estimator.Estimator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hd9a2oyb.html "TensorFlow的estimator类函数：tf.estimator.Estimator") 7. [TensorFlow函数：tf.estimator.EstimatorSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q5hc2ozv.html "TensorFlow函数：tf.estimator.EstimatorSpec") 8. [TensorFlow函数：tf.estimator.EvalSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2z8n2p0s.html "TensorFlow函数：tf.estimator.EvalSpec") 9. [TensorFlow函数：tf.estimator.Exporter](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uqwb2p44.html "TensorFlow函数：tf.estimator.Exporter") 10. [TensorFlow函数：tf.estimator.FinalExporter](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h5xt2p6i.html "TensorFlow函数：tf.estimator.FinalExporter") 11. [TensorFlow函数：tf.estimator.LatestExporter](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-doct2p6k.html "TensorFlow函数：tf.estimator.LatestExporter") 12. [TensorFlow函数：tf.estimator.ModeKeys](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8gjs2p9i.html "TensorFlow函数：tf.estimator.ModeKeys") 13. [TensorFlow函数：tf.estimator.regressor\_parse\_example\_spec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-itjb2p9l.html "TensorFlow函数：tf.estimator.regressor_parse_example_spec") 14. [TensorFlow函数：tf.estimator.RunConfig](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kc342pc7.html "TensorFlow函数：tf.estimator.RunConfig") 15. [TensorFlow函数：tf.estimator.TrainSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s7gp2pdn.html "TensorFlow函数：tf.estimator.TrainSpec") 16. [TensorFlow函数：tf.estimator.VocabInfo](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f6je2pe2.html "TensorFlow函数：tf.estimator.VocabInfo") 17. [TensorFlow函数：tf.estimator.WarmStartSettings](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2agr2pfl.html "TensorFlow函数：tf.estimator.WarmStartSettings") 7. [TensorFlow怎么使用gfile模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3d5z2ebb.html "TensorFlow怎么使用gfile模块") 1. [将TensorFlow文件数据复制到新路径](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5u2e2ebe.html "将TensorFlow文件数据复制到新路径") 2. [文件I/O包装器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qevz2ed7.html "文件I/O包装器") 3. [TensorFlow如何使用GFile类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ys1p2emt.html "TensorFlow如何使用GFile类") 4. [TensorFlow返回模式匹配文件列表](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b3iw2emv.html "TensorFlow返回模式匹配文件列表") 5. [TensorFlow函数：tf.gfile.IsDirectory](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-za3e2pi5.html "TensorFlow函数：tf.gfile.IsDirectory") 6. [TensorFlow函数：tf.gfile.ListDirectory](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3pqc2pl9.html "TensorFlow函数：tf.gfile.ListDirectory") 7. [TensorFlow函数：tf.gfile.MakeDirs](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-scx62plb.html "TensorFlow函数：tf.gfile.MakeDirs") 8. [TensorFlow函数：tf.gfile.MkDir](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8aj72plc.html "TensorFlow函数：tf.gfile.MkDir") 9. [TensorFlow函数：tf.gfile.Remove](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zbfg2pp0.html "TensorFlow函数：tf.gfile.Remove") 10. [TensorFlow函数：tf.gfile.Rename](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-chf62pp5.html "TensorFlow函数：tf.gfile.Rename") 11. [TensorFlow函数：tf.gfile.Stat](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fxgv2prh.html "TensorFlow函数：tf.gfile.Stat") 12. [TensorFlow函数：tf.gfile.Walk](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2qb42pri.html "TensorFlow函数：tf.gfile.Walk") 8. [TensorFlow的graph\_util模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-45zy2ekn.html "TensorFlow的graph_util模块") 1. [TensorFlow如何用常量替换变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n9ix2ekq.html "TensorFlow如何用常量替换变量") 2. [如何操作TensorFlow张量图的节点](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tw1o2eku.html "如何操作TensorFlow张量图的节点") 3. [TensorFlow函数：tf.graph\_util.must\_run\_on\_cpu](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-t2ip2ptc.html "TensorFlow函数：tf.graph_util.must_run_on_cpu") 4. [TensorFlow函数：tf.graph\_util.remove\_training\_nodes](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jb2v2ptf.html "TensorFlow函数：tf.graph_util.remove_training_nodes") 5. [TensorFlow函数：tf.graph\_util.tensor\_shape\_from\_node\_def\_name](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3kwe2pvc.html "TensorFlow函数：tf.graph_util.tensor_shape_from_node_def_name") 9. [TensorFlow的image模块]("TensorFlow的image模块") 1. [TensorFlow模块：tf.image](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zkgb2pve.html "TensorFlow模块：tf.image") 2. [TensorFlow函数：tf.image.adjust\_brightness](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-doin2py9.html "TensorFlow函数：tf.image.adjust_brightness") 3. [TensorFlow函数：tf.image.adjust\_contrast](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ug9z2pyg.html "TensorFlow函数：tf.image.adjust_contrast") 4. [TensorFlow函数：tf.image.adjust\_gamma](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ych22pzm.html "TensorFlow函数：tf.image.adjust_gamma") 5. [TensorFlow函数：tf.image.adjust\_hue](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zy382q20.html "TensorFlow函数：tf.image.adjust_hue") 6. [TensorFlow函数：tf.image.adjust\_saturation](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2auk2q28.html "TensorFlow函数：tf.image.adjust_saturation") 7. [TensorFlow函数：tf.image.central\_crop](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-43xt2q3t.html "TensorFlow函数：tf.image.central_crop") 8. [TensorFlow函数：tf.image.convert\_image\_dtype](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4m592q3z.html "TensorFlow函数：tf.image.convert_image_dtype") 9. [TensorFlow函数：tf.image.crop\_and\_resize](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bwr22q6g.html "TensorFlow函数：tf.image.crop_and_resize") 10. [TensorFlow函数：tf.image.crop\_to\_bounding\_box](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lq9p2q6k.html "TensorFlow函数：tf.image.crop_to_bounding_box") 11. [TensorFlow函数：tf.image.decode\_and\_crop\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-e4on2q86.html "TensorFlow函数：tf.image.decode_and_crop_jpeg") 12. [TensorFlow函数：tf.image.decode\_bmp](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cqvt2q87.html "TensorFlow函数：tf.image.decode_bmp") 13. [TensorFlow函数：tf.image.decode\_gif](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qeul2qa4.html "TensorFlow函数：tf.image.decode_gif") 14. [TensorFlow函数：tf.image.decode\_image](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ug6x2qa6.html "TensorFlow函数：tf.image.decode_image") 15. [TensorFlow函数：tf.image.decode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jkyc2qdv.html "TensorFlow函数：tf.image.decode_jpeg") 16. [TensorFlow函数：tf.image.decode\_png](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o3id2qdw.html "TensorFlow函数：tf.image.decode_png") 17. [TensorFlow函数：tf.image.draw\_bounding\_boxes](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hvpu2qfz.html "TensorFlow函数：tf.image.draw_bounding_boxes") 18. [TensorFlow函数：tf.image.encode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2d8l2qg4.html "TensorFlow函数：tf.image.encode_jpeg") 19. [TensorFlow函数：tf.image.encode\_png](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8dv62qil.html "TensorFlow函数：tf.image.encode_png") 20. [TensorFlow函数：tf.image.extract\_glimpse](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d6n72qim.html "TensorFlow函数：tf.image.extract_glimpse") 21. [TensorFlow函数：tf.image.extract\_jpeg\_shape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lke82qln.html "TensorFlow函数：tf.image.extract_jpeg_shape") 22. [TensorFlow函数：tf.image.flip\_left\_right](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-auzm2qlq.html "TensorFlow函数：tf.image.flip_left_right") 23. [TensorFlow函数：tf.image.flip\_up\_down](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i7l52qnw.html "TensorFlow函数：tf.image.flip_up_down") 24. [TensorFlow函数：tf.image.grayscale\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-781j2qnx.html "TensorFlow函数：tf.image.grayscale_to_rgb") 25. [TensorFlow函数：tf.image.hsv\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nkxe2qqk.html "TensorFlow函数：tf.image.hsv_to_rgb") 26. [TensorFlow函数：tf.image.image\_gradients](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4q2f2qqn.html "TensorFlow函数：tf.image.image_gradients") 27. [TensorFlow函数：tf.image.is\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mzty2qqo.html "TensorFlow函数：tf.image.is_jpeg") 28. [TensorFlow函数：tf.image.non\_max\_suppression](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9qjv2qva.html "TensorFlow函数：tf.image.non_max_suppression") 29. [TensorFlow函数：tf.image.pad\_to\_bounding\_box](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-afov2qvc.html "TensorFlow函数：tf.image.pad_to_bounding_box") 30. [TensorFlow函数：tf.image.per\_image\_standardization](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vbyx2qyr.html "TensorFlow函数：tf.image.per_image_standardization") 31. [TensorFlow函数：tf.image.psnr](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j26v2qyu.html "TensorFlow函数：tf.image.psnr") 32. [TensorFlow函数：tf.image.random\_brightness](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j4yp2r11.html "TensorFlow函数：tf.image.random_brightness") 33. [TensorFlow函数：tf.image.random\_contrast](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-famw2r12.html "TensorFlow函数：tf.image.random_contrast") 34. [TensorFlow函数：tf.image.random\_flip\_left\_right](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-r6kb2r34.html "TensorFlow函数：tf.image.random_flip_left_right") 35. [TensorFlow函数：tf.image.random\_flip\_up\_down](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-867h2r35.html "TensorFlow函数：tf.image.random_flip_up_down") 36. [TensorFlow函数：tf.image.random\_hue](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j7n62r6t.html "TensorFlow函数：tf.image.random_hue") 37. [TensorFlow函数：tf.image.random\_saturation](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zg3y2r6w.html "TensorFlow函数：tf.image.random_saturation") 38. [TensorFlow函数：tf.image.ResizeMethod](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6poe2r9f.html "TensorFlow函数：tf.image.ResizeMethod") 39. [TensorFlow函数：tf.image.resize\_area](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yh7f2r9i.html "TensorFlow函数：tf.image.resize_area") 40. [TensorFlow函数：tf.image.resize\_bicubic](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7jlr2rbr.html "TensorFlow函数：tf.image.resize_bicubic") 41. [TensorFlow函数：tf.image.resize\_bilinear](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nk642rbu.html "TensorFlow函数：tf.image.resize_bilinear") 42. [TensorFlow函数：tf.image.resize\_images](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5ymn2rer.html "TensorFlow函数：tf.image.resize_images") 43. [TensorFlow函数：tf.image.resize\_image\_with\_crop\_or\_pad](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dh432reu.html "TensorFlow函数：tf.image.resize_image_with_crop_or_pad") 44. [TensorFlow函数：tf.image.resize\_nearest\_neighbor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u5bi2rgy.html "TensorFlow函数：tf.image.resize_nearest_neighbor") 45. [TensorFlow函数：tf.image.rgb\_to\_grayscale](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zbj52rgz.html "TensorFlow函数：tf.image.rgb_to_grayscale") 46. [TensorFlow函数：tf.image.rgb\_to\_hsv](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j8iz2rk5.html "TensorFlow函数：tf.image.rgb_to_hsv") 47. [TensorFlow函数：tf.image.rgb\_to\_yiq](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6tzf2rk6.html "TensorFlow函数：tf.image.rgb_to_yiq") 48. [TensorFlow函数：tf.image.rgb\_to\_yuv](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-evcn2rm9.html "TensorFlow函数：tf.image.rgb_to_yuv") 49. [TensorFlow函数：tf.image.rot90](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ukgr2rmg.html "TensorFlow函数：tf.image.rot90") 50. [TensorFlow函数：tf.image.sample\_distorted\_bounding\_box](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vmxq2rpm.html "TensorFlow函数：tf.image.sample_distorted_bounding_box") 51. [TensorFlow函数：tf.image.sobel\_edges](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-szpy2rq1.html "TensorFlow函数：tf.image.sobel_edges") 52. [TensorFlow函数：tf.image.ssim](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c5xz2rsh.html "TensorFlow函数：tf.image.ssim") 53. [TensorFlow函数：tf.image.ssim\_multiscale](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hr7w2rsi.html "TensorFlow函数：tf.image.ssim_multiscale") 54. [TensorFlow函数：tf.image.total\_variation](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b5232ru7.html "TensorFlow函数：tf.image.total_variation") 55. [TensorFlow函数：tf.image.transpose\_image](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5f7x2rua.html "TensorFlow函数：tf.image.transpose_image") 56. [TensorFlow函数：tf.image.yiq\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4r5c2rzy.html "TensorFlow函数：tf.image.yiq_to_rgb") 57. [TensorFlow函数：tf.image.yuv\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s2v72s08.html "TensorFlow函数：tf.image.yuv_to_rgb") 10. [TensorFlow使用之tf.initializers]("TensorFlow使用之tf.initializers") 1. [TensorFlow模块：tf.initializers](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1n242s3h.html "TensorFlow模块：tf.initializers") 2. [TensorFlow函数：tf.initializers.identity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d6sg2s3k.html "TensorFlow函数：tf.initializers.identity") 11. [TensorFlow使用之tf.io]("TensorFlow使用之tf.io") 1. [tf.io概览](https://www.w3cschool.cn/tensorflow_python/tf_io.html "tf.io概览") 2. [decode\_and\_crop\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_and_crop_jpeg.html "TensorFlow函数教程：tf.io.decode_and_crop_jpeg") 3. [decode\_base64](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_base64.html "TensorFlow函数教程：tf.io.decode_base64") 4. [decode\_bmp](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_bmp.html "TensorFlow函数教程：tf.io.decode_bmp") 5. [decode\_compressed](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_compressed.html "TensorFlow函数教程：tf.io.decode_compressed") 6. [decode\_csv](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_csv.html "TensorFlow函数教程：tf.io.decode_csv") 7. [decode\_gif](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_gif.html "TensorFlow函数教程：tf.io.decode_gif") 8. [decode\_image](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_image.html "TensorFlow函数教程：tf.io.decode_image") 9. [decode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_jpeg.html "TensorFlow函数教程：tf.io.decode_jpeg") 10. [decode\_json\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_json_example.html "TensorFlow函数教程：tf.io.decode_json_example") 11. [decode\_png](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_png.html "TensorFlow函数教程：tf.io.decode_png") 12. [decode\_raw](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_raw.html "TensorFlow函数教程：tf.io.decode_raw") 13. [deserialize\_many\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_io_deserialize_many_sparse.html "TensorFlow函数教程：tf.io.deserialize_many_sparse") 14. [encode\_base64](https://www.w3cschool.cn/tensorflow_python/tf_io_encode_base64.html "TensorFlow函数教程：tf.io.encode_base64") 15. [encode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_encode_jpeg.html "TensorFlow函数教程：tf.io.encode_jpeg") 16. [extract\_jpeg\_shape](https://www.w3cschool.cn/tensorflow_python/tf_io_extract_jpeg_shape.html "TensorFlow函数教程：tf.io.extract_jpeg_shape") 17. [FixedLenFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_FixedLenFeature.html "TensorFlow函数教程：tf.io.FixedLenFeature") 18. [FixedLenSequenceFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_FixedLenSequenceFeature.html "TensorFlow函数教程：tf.io.FixedLenSequenceFeature") 19. [is\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_is_jpeg.html "TensorFlow函数教程：tf.io.is_jpeg") 20. [matching\_files](https://www.w3cschool.cn/tensorflow_python/tf_io_matching_files.html "TensorFlow函数教程：tf.io.matching_files") 21. [match\_filenames\_once](https://www.w3cschool.cn/tensorflow_python/tf_io_match_filenames_once.html "TensorFlow函数教程：tf.io.match_filenames_once") 22. [PaddingFIFOQueue](https://www.w3cschool.cn/tensorflow_python/tf_io_PaddingFIFOQueue.html "TensorFlow函数教程：tf.io.PaddingFIFOQueue") 23. [parse\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_example.html "TensorFlow函数教程：tf.io.parse_example") 24. [parse\_sequence\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_sequence_example.html "TensorFlow函数教程：tf.io.parse_sequence_example") 25. [parse\_single\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_single_example.html "TensorFlow函数教程：tf.io.parse_single_example") 26. [parse\_single\_sequence\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_single_sequence_example.html "TensorFlow函数教程：tf.io.parse_single_sequence_example") 27. [parse\_tensor](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_tensor.html "TensorFlow函数教程：tf.io.parse_tensor") 28. [read\_file](https://www.w3cschool.cn/tensorflow_python/tf_io_read_file.html "TensorFlow函数教程：tf.io.read_file") 29. [serialize\_many\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_io_serialize_many_sparse.html "TensorFlow函数教程：tf.io.serialize_many_sparse") 30. [serialize\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_io_serialize_sparse.html "TensorFlow函数教程：tf.io.serialize_sparse") 31. [serialize\_tensor](https://www.w3cschool.cn/tensorflow_python/tf_io_serialize_tensor.html "TensorFlow函数教程：tf.io.serialize_tensor") 32. [SparseFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_SparseFeature.html "TensorFlow函数教程：tf.io.SparseFeature") 33. [TFRecordCompressionType](https://www.w3cschool.cn/tensorflow_python/tf_io_TFRecordCompressionType.html "TensorFlow函数教程：tf.io.TFRecordCompressionType") 34. [TFRecordOptions](https://www.w3cschool.cn/tensorflow_python/tf_io_TFRecordOptions.html "TensorFlow函数教程：tf.io.TFRecordOptions") 35. [TFRecordWriter](https://www.w3cschool.cn/tensorflow_python/tf_io_TFRecordWriter.html "TensorFlow函数教程：tf.io.TFRecordWriter") 36. [tf\_record\_iterator](https://www.w3cschool.cn/tensorflow_python/tf_io_tf_record_iterator.html "TensorFlow函数教程：tf.io.tf_record_iterator") 37. [VarLenFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_VarLenFeature.html "TensorFlow函数教程：tf.io.VarLenFeature") 38. [write\_file](https://www.w3cschool.cn/tensorflow_python/tf_io_write_file.html "TensorFlow函数教程：tf.io.write_file") 39. [write\_graph](https://www.w3cschool.cn/tensorflow_python/tf_io_write_graph.html "TensorFlow函数教程：tf.io.write_graph") 40. [gfile](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile.html "TensorFlow函数教程：tf.io.gfile") 1. [copy](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_copy.html "TensorFlow函数教程：tf.io.gfile.copy") 2. [exists](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_exists.html "TensorFlow函数教程：tf.io.gfile.exists") 3. [GFile](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_GFile.html "TensorFlow函数教程：tf.io.gfile.GFile") 4. [glob](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_glob.html "TensorFlow函数教程：tf.io.gfile.glob") 5. [isdir](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_isdir.html "TensorFlow函数教程：tf.io.gfile.isdir") 6. [listdir](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_listdir.html "TensorFlow函数教程：tf.io.gfile.listdir") 7. [makedirs](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_makedirs.html "TensorFlow函数教程：tf.io.gfile.makedirs") 8. [mkdir](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_mkdir.html "TensorFlow函数教程：tf.io.gfile.mkdir") 9. [remove](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_remove.html "TensorFlow函数教程：tf.io.gfile.remove") 10. [rename](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_rename.html "TensorFlow函数教程：tf.io.gfile.rename") 11. [rmtree](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_rmtree.html "TensorFlow函数教程：tf.io.gfile.rmtree") 12. [stat](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_stat.html "TensorFlow函数教程：tf.io.gfile.stat") 13. [walk](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_walk.html "TensorFlow函数教程：tf.io.gfile.walk") 12. [TensorFlow使用之tf.keras]("TensorFlow使用之tf.keras") 1. [TensorFlow模块：tf.keras](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5dym2s6j.html "TensorFlow模块：tf.keras") 2. [Input](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-63xs2s6r.html "TensorFlow函数：tf.keras.Input") 3. [activations](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations.html "TensorFlow函数教程：tf.keras.activations") 1. [deserialize](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_deserialize.html "TensorFlow函数教程：tf.keras.activations.deserialize") 2. [elu](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_elu.html "TensorFlow函数教程：tf.keras.activations.elu") 3. [exponential](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_exponential.html "TensorFlow函数教程：tf.keras.activations.exponential") 4. [get](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_get.html "TensorFlow函数教程：tf.keras.activations.get") 5. [hard\_sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_hard_sigmoid.html "TensorFlow函数教程：tf.keras.activations.hard_sigmoid") 6. [linear](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_linear.html "TensorFlow函数教程：tf.keras.activations.linear") 7. [relu](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_relu.html "TensorFlow函数教程：tf.keras.activations.relu") 8. [selu](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_selu.html "TensorFlow函数教程：tf.keras.activations.selu") 9. [serialize](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_serialize.html "TensorFlow函数教程：tf.keras.activations.serialize") 10. [sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_sigmoid.html "TensorFlow函数教程：tf.keras.activations.sigmoid") 11. [softmax](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_softmax.html "TensorFlow函数教程：tf.keras.activations.softmax") 12. [softplus](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_softplus.html "TensorFlow函数教程：tf.keras.activations.softplus") 13. [softsign](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_softsign.html "TensorFlow函数教程：tf.keras.activations.softsign") 14. [tanh](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_tanh.html "TensorFlow函数教程：tf.keras.activations.tanh") 4. [applications](https://www.w3cschool.cn/tensorflow_python/tf_keras_applications.html "TensorFlow函数教程：tf.keras.applications") 5. [backend](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend.html "TensorFlow函数教程：tf.keras.backend") 1. [abs](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_abs.html "TensorFlow函数教程：tf.keras.backend.abs") 2. [all](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_all.html "TensorFlow函数教程：tf.keras.backend.all") 3. [any](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_any.html "TensorFlow函数教程：tf.keras.backend.any") 4. [arange](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_arange.html "TensorFlow函数教程：tf.keras.backend.arange") 5. [argmax](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_argmax.html "TensorFlow函数教程：tf.keras.backend.argmax") 6. [argmin](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_argmin.html "TensorFlow函数教程：tf.keras.backend.argmin") 7. [backend](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_backend.html "TensorFlow函数教程：tf.keras.backend.backend") 8. [batch\_dot](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_dot.html "TensorFlow函数教程：tf.keras.backend.batch_dot") 9. [batch\_flatten](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_flatten.html "TensorFlow函数教程：tf.keras.backend.batch_flatten") 10. [batch\_get\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_get_value.html "TensorFlow函数教程：tf.keras.backend.batch_get_value") 11. [batch\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_normalization.html "TensorFlow函数教程：tf.keras.backend.batch_normalization") 12. [batch\_set\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_set_value.html "TensorFlow函数教程：tf.keras.backend.batch_set_value") 13. [bias\_add](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_bias_add.html "TensorFlow函数教程：tf.keras.backend.bias_add") 14. [binary\_crossentropy](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_binary_crossentropy.html "TensorFlow函数教程：tf.keras.backend.binary_crossentropy") 15. [cast](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_cast.html "TensorFlow函数教程：tf.keras.backend.cast") 16. [cast\_to\_floatx](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_cast_to_floatx.html "TensorFlow函数教程：tf.keras.backend.cast_to_floatx") 17. [categorical\_crossentropy](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_categorical_crossentropy.html "TensorFlow函数教程：tf.keras.backend.categorical_crossentropy") 18. [clear\_session](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_clear_session.html "TensorFlow函数教程：tf.keras.backend.clear_session") 19. [clip](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_clip.html "TensorFlow函数教程：tf.keras.backend.clip") 20. [concatenate](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_concatenate.html "TensorFlow函数教程：tf.keras.backend.concatenate") 21. [constant](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_constant.html "TensorFlow函数教程：tf.keras.backend.constant") 22. [conv1d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv1d.html "TensorFlow函数教程：tf.keras.backend.conv1d") 23. [conv2d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv2d.html "TensorFlow函数教程：tf.keras.backend.conv2d") 24. [conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv2d_transpose.html "TensorFlow函数教程：tf.keras.backend.conv2d_transpose") 25. [conv3d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv3d.html "TensorFlow函数教程：tf.keras.backend.conv3d") 26. [cos](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_cos.html "TensorFlow函数教程：tf.keras.backend.cos") 27. [count\_params](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_count_params.html "TensorFlow函数教程：tf.keras.backend.count_params") 28. [ctc\_batch\_cost](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ctc_batch_cost.html "TensorFlow函数教程：tf.keras.backend.ctc_batch_cost") 29. [ctc\_decode](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ctc_decode.html "TensorFlow函数教程：tf.keras.backend.ctc_decode") 30. [ctc\_label\_dense\_to\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ctc_label_dense_to_sparse.html "TensorFlow函数教程：tf.keras.backend.ctc_label_dense_to_sparse") 31. [dot](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_dot.html "TensorFlow函数教程：tf.keras.backend.dot") 32. [dropout](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_dropout.html "TensorFlow函数教程：tf.keras.backend.dropout") 33. [dtype](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_dtype.html "TensorFlow函数教程：tf.keras.backend.dtype") 34. [elu](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_elu.html "TensorFlow函数教程：tf.keras.backend.elu") 35. [epsilon](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_epsilon.html "TensorFlow函数教程：tf.keras.backend.epsilon") 36. [equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_equal.html "TensorFlow函数教程：tf.keras.backend.equal") 37. [eval](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_eval.html "TensorFlow函数教程：tf.keras.backend.eval") 38. [exp](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_exp.html "TensorFlow函数教程：tf.keras.backend.exp") 39. [expand\_dims](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_expand_dims.html "TensorFlow函数教程：tf.keras.backend.expand_dims") 40. [eye](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_eye.html "TensorFlow函数教程：tf.keras.backend.eye") 41. [flatten](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_flatten.html "TensorFlow函数教程：tf.keras.backend.flatten") 42. [floatx](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_floatx.html "TensorFlow函数教程：tf.keras.backend.floatx") 43. [foldl](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_foldl.html "TensorFlow函数教程：tf.keras.backend.foldl") 44. [foldr](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_foldr.html "TensorFlow函数教程：tf.keras.backend.foldr") 45. [function](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_function.html "TensorFlow函数教程：tf.keras.backend.function") 46. [gather](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_gather.html "TensorFlow函数教程：tf.keras.backend.gather") 47. [get\_session](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_get_session.html "TensorFlow函数教程：tf.keras.backend.get_session") 48. [get\_uid](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_get_uid.html "TensorFlow函数教程：tf.keras.backend.get_uid") 49. [get\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_get_value.html "TensorFlow函数教程：tf.keras.backend.get_value") 50. [gradients](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_gradients.html "TensorFlow函数教程：tf.keras.backend.gradients") 51. [greater](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_greater.html "TensorFlow函数教程：tf.keras.backend.greater") 52. [greater\_equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_greater_equal.html "TensorFlow函数教程：tf.keras.backend.greater_equal") 53. [hard\_sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_hard_sigmoid.html "TensorFlow函数教程：tf.keras.backend.hard_sigmoid") 54. [image\_data\_format](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_image_data_format.html "TensorFlow函数教程：tf.keras.backend.image_data_format") 55. [int\_shape](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_int_shape.html "TensorFlow函数教程：tf.keras.backend.int_shape") 56. [in\_test\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_in_test_phase.html "TensorFlow函数教程：tf.keras.backend.in_test_phase") 57. [in\_top\_k](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_in_top_k.html "TensorFlow函数教程：tf.keras.backend.in_top_k") 58. [in\_train\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_in_train_phase.html "TensorFlow函数教程：tf.keras.backend.in_train_phase") 59. [is\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_is_sparse.html "TensorFlow函数教程：tf.keras.backend.is_sparse") 60. [l2\_normalize](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_l2_normalize.html "TensorFlow函数教程：tf.keras.backend.l2_normalize") 61. [learning\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_learning_phase.html "TensorFlow函数教程：tf.keras.backend.learning_phase") 62. [less](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_less.html "TensorFlow函数教程：tf.keras.backend.less") 63. [less\_equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_less_equal.html "TensorFlow函数教程：tf.keras.backend.less_equal") 64. [log](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_log.html "TensorFlow函数教程：tf.keras.backend.log") 65. [manual\_variable\_initialization](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_manual_variable_initialization.html "TensorFlow函数教程：tf.keras.backend.manual_variable_initialization") 66. [map\_fn](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_map_fn.html "TensorFlow函数教程：tf.keras.backend.map_fn") 67. [max](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_max.html "TensorFlow函数教程：tf.keras.backend.max") 68. [maximum](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_maximum.html "TensorFlow函数教程：tf.keras.backend.maximum") 69. [mean](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_mean.html "TensorFlow函数教程：tf.keras.backend.meantf.keras.backend.mean") 70. [min](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_min.html "TensorFlow函数教程：tf.keras.backend.min") 71. [minimum](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_minimum.html "TensorFlow函数教程：tf.keras.backend.minimum") 72. [moving\_average\_update](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_moving_average_update.html "TensorFlow函数教程：tf.keras.backend.moving_average_update") 73. [ndim](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ndim.html "TensorFlow函数教程：tf.keras.backend.ndim") 74. [normalize\_batch\_in\_training](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_normalize_batch_in_training.html "TensorFlow函数教程：tf.keras.backend.normalize_batch_in_training") 75. [not\_equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_not_equal.html "TensorFlow函数教程：tf.keras.backend.not_equal") 76. [ones](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ones.html "TensorFlow函数教程：tf.keras.backend.ones") 77. [ones\_like](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ones_like.html "TensorFlow函数教程：tf.keras.backend.ones_like") 78. [one\_hot](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_one_hot.html "TensorFlow函数教程：tf.keras.backend.one_hot") 79. [permute\_dimensions](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_permute_dimensions.html "TensorFlow函数教程：tf.keras.backend.permute_dimensions") 80. [placeholder](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_placeholder.html "TensorFlow函数教程：tf.keras.backend.placeholder") 81. [pool2d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_pool2d.html "TensorFlow函数教程：tf.keras.backend.pool2d") 82. [pool3d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_pool3d.html "TensorFlow函数教程：tf.keras.backend.pool3d") 83. [pow](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_pow.html "TensorFlow函数教程：tf.keras.backend.pow") 84. [print\_tensor](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_print_tensor.html "TensorFlow函数教程：tf.keras.backend.print_tensor") 85. [prod](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_prod.html "TensorFlow函数教程：tf.keras.backend.prod") 86. [random\_binomial](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_binomial.html "TensorFlow函数教程：tf.keras.backend.random_binomial") 87. [random\_normal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_normal.html "TensorFlow函数教程：tf.keras.backend.random_normal") 88. [random\_normal\_variable](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hwy730lx.html "TensorFlow函数教程：tf.keras.backend.random_normal_variable") 89. [random\_uniform](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_uniform.html "TensorFlow函数教程：tf.keras.backend.random_uniform") 90. [random\_uniform\_variable](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_uniform_variable.html "TensorFlow函数教程：tf.keras.backend.random_uniform_variable") 91. [relu](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_relu.html "TensorFlow函数教程：tf.keras.backend.relu") 92. [repeat](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_repeat.html "TensorFlow函数教程：tf.keras.backend.repeat") 93. [repeat\_elements](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_repeat_elements.html "TensorFlow函数教程：tf.keras.backend.repeat_elements") 94. [reset\_uids](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_reset_uids.html "TensorFlow函数教程：tf.keras.backend.reset_uids") 95. [reshape](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_reshape.html "TensorFlow函数教程：tf.keras.backend.reshape") 96. [resize\_images](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_resize_images.html "TensorFlow函数教程：tf.keras.backend.resize_images") 97. [resize\_volumes](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_resize_volumes.html "TensorFlow函数教程：tf.keras.backend.resize_volumes") 98. [reverse](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_reverse.html "TensorFlow函数教程：tf.keras.backend.reverse") 99. [rnn](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_rnn.html "TensorFlow函数教程：tf.keras.backend.rnn") 100. [round](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_round.html "TensorFlow函数教程：tf.keras.backend.round") 101. [separable\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_separable_conv2d.html "TensorFlow函数教程：tf.keras.backend.separable_conv2d") 102. [set\_epsilon](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_epsilon.html "TensorFlow函数教程：tf.keras.backend.set_epsilon") 103. [set\_floatx](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_floatx.html "TensorFlow函数教程：tf.keras.backend.set_floatx") 104. [set\_image\_data\_format](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_image_data_format.html "TensorFlow函数教程：tf.keras.backend.set_image_data_format") 105. [set\_learning\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_learning_phase.html "TensorFlow函数教程：tf.keras.backend.set_learning_phase") 106. [set\_session](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_session.html "TensorFlow函数教程：tf.keras.backend.set_session") 107. [set\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_value.html "TensorFlow函数教程：tf.keras.backend.set_value") 108. [shape](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_shape.html "TensorFlow函数教程：tf.keras.backend.shape") 109. [sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sigmoid.html "TensorFlow函数教程：tf.keras.backend.sigmoid") 110. [sign](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sign.html "TensorFlow函数教程：tf.keras.backend.sign") 111. [sin](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rvm2319m.html "TensorFlow函数教程：tf.keras.backend.sin") 112. [softmax](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aitj319n.html "TensorFlow函数教程：tf.keras.backend.softmax") 113. [softplus](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_softplus.html "TensorFlow函数教程：tf.keras.backend.softplus") 114. [softsign](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_softsign.html "TensorFlow函数教程：tf.keras.backend.softsign") 115. [sparse\_categorical\_crossentropy](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sparse_categorical_crossentropy.html "TensorFlow函数教程：tf.keras.backend.sparse_categorical_crossentropy") 116. [spatial\_2d\_padding](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_spatial_2d_padding.html "TensorFlow函数教程：tf.keras.backend.spatial_2d_padding") 117. [spatial\_3d\_padding](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_spatial_3d_padding.html "TensorFlow函数教程：tf.keras.backend.spatial_3d_padding") 118. [sqrt](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sqrt.html "TensorFlow函数教程：tf.keras.backend.sqrt") 119. [square](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_square.html "TensorFlow函数教程：tf.keras.backend.square") 120. [squeeze](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_squeeze.html "TensorFlow函数教程：tf.keras.backend.squeeze") 121. [stack](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_stack.html "TensorFlow函数教程：tf.keras.backend.stack") 122. [std](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_std.html "TensorFlow函数教程：tf.keras.backend.std") 123. [stop\_gradient](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_stop_gradient.html "TensorFlow函数教程：tf.keras.backend.stop_gradient") 6. [callbacks](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks.html "TensorFlow回调函数：tf.keras.callbacks") 1. [BaseLogger](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_BaseLogger.html "TensorFlow回调函数：tf.keras.callbacks.BaseLogger") 2. [Callback](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_Callback.html "TensorFlow回调函数：tf.keras.callbacks.Callback") 3. [CSVLogger](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_CSVLogger.html "TensorFlow回调函数：tf.keras.callbacks.CSVLogger") 4. [EarlyStopping](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_EarlyStopping.html "TensorFlow函数教程：tf.keras.callbacks.EarlyStopping") 5. [History](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5l7y30rc.html "TensorFlow回调函数：tf.keras.callbacks.History") 6. [LambdaCallback](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_LambdaCallback.html "TensorFlow回调函数：tf.keras.callbacks.LambdaCallback") 7. [LearningRateScheduler](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_LearningRateScheduler.html "TensorFlow回调函数：tf.keras.callbacks.LearningRateScheduler") 8. [ModelCheckpoint](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_ModelCheckpoint.html "TensorFlow回调函数：tf.keras.callbacks.ModelCheckpoint") 9. [ProgbarLogger](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_ProgbarLogger.html "TensorFlow回调函数：tf.keras.callbacks.ProgbarLogger") 10. [ReduceLROnPlateau](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_ReduceLROnPlateau.html "TensorFlow回调函数：tf.keras.callbacks.ReduceLROnPlateau") 11. [RemoteMonitor](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_RemoteMonitor.html "TensorFlow回调函数：tf.keras.callbacks.RemoteMonitor") 12. [TensorBoard](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_TensorBoard.html "TensorFlow回调函数：tf.keras.callbacks.TensorBoard") 13. [TerminateOnNaN](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_TerminateOnNaN.html "TensorFlow回调函数：tf.keras.callbacks.TerminateOnNaN") 13. [TensorFlow使用之tf.layers]("TensorFlow使用之tf.layers") 1. [TensorFlow模块：tf.layers](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-59ay2s9i.html "TensorFlow模块：tf.layers") 2. [TensorFlow函数：tf.layers.AveragePooling1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-urdf2sbx.html "TensorFlow函数：tf.layers.AveragePooling1D") 3. [TensorFlow函数：tf.layers.AveragePooling2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gylv2sh9.html "TensorFlow函数：tf.layers.AveragePooling2D") 4. [TensorFlow函数：tf.layers.AveragePooling3D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ctf72spr.html "TensorFlow函数：tf.layers.AveragePooling3D") 5. [TensorFlow函数：tf.layers.average\_pooling1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9vac2sn1.html "TensorFlow函数：tf.layers.average_pooling1d") 6. [TensorFlow函数：tf.layers.average\_pooling2d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n5g92sn2.html "TensorFlow函数：tf.layers.average_pooling2d") 7. [TensorFlow函数：tf.layers.average\_pooling3d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6ftn2ssw.html "TensorFlow函数：tf.layers.average_pooling3d") 8. [TensorFlow函数：tf.layers.batch\_normalization](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-13p92sws.html "TensorFlow函数：tf.layers.batch_normalization") 9. [TensorFlow函数：tf.layers.Conv1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-283f2t0b.html "TensorFlow函数：tf.layers.Conv1D") 10. [TensorFlow函数：tf.layers.Conv2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p6qw2t3y.html "TensorFlow函数：tf.layers.Conv2D") 11. [TensorFlow函数：tf.layers.Conv2DTranspose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wfg62t8h.html "TensorFlow函数：tf.layers.Conv2DTranspose") 12. [TensorFlow函数：tf.layers.conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z2xe2sk5.html "TensorFlow函数：tf.layers.conv2d_transpose") 13. [TensorFlow函数：tf.layers.Conv3D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nmqk2tgg.html "TensorFlow函数：tf.layers.Conv3D") 14. [TensorFlow函数：tf.layers.conv3d\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hzky2swu.html "TensorFlow函数：tf.layers.conv3d_transpose") 15. [TensorFlow函数：tf.layers.InputSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yq9h2tcv.html "TensorFlow函数：tf.layers.InputSpec") 16. [TensorFlow函数：tf.layers.Conv3DTranspose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g9yf2tlo.html "TensorFlow函数：tf.layers.Conv3DTranspose") 17. [TensorFlow函数：tf.layers.Dense](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rn6a2tps.html "TensorFlow函数：tf.layers.Dense") 18. [TensorFlow函数：tf.layers.Dropout](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7pne2tsr.html "TensorFlow函数：tf.layers.Dropout") 19. [TensorFlow函数：tf.layers.Flatten](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dw3m2twu.html "TensorFlow函数：tf.layers.Flatten") 20. [TensorFlow函数：tf.layers.Layer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hlym2u18.html "TensorFlow函数：tf.layers.Layer") 21. [TensorFlow函数：tf.layers.MaxPooling1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nwol2uyr.html "TensorFlow函数：tf.layers.MaxPooling1D") 22. [TensorFlow函数：tf.layers.MaxPooling2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ycgz2v16.html "TensorFlow函数：tf.layers.MaxPooling2D") 23. [TensorFlow函数：tf.layers.MaxPooling3D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ef6g2v4j.html "TensorFlow函数：tf.layers.MaxPooling3D") 24. [TensorFlow函数：tf.layers.max\_pooling1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-skct2u4z.html "TensorFlow函数：tf.layers.max_pooling1d") 25. [TensorFlow函数：tf.layers.max\_pooling2d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j4ni2u54.html "TensorFlow函数：tf.layers.max_pooling2d") 26. [TensorFlow函数：tf.layers.max\_pooling3d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6hbw2u9w.html "TensorFlow函数：tf.layers.max_pooling3d") 27. [TensorFlow函数：tf.layers.SeparableConv1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hpby2uee.html "TensorFlow函数：tf.layers.SeparableConv1D") 28. [TensorFlow函数：tf.layers.SeparableConv2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tsoq2uia.html "TensorFlow函数：tf.layers.SeparableConv2D") 29. [TensorFlow函数：tf.layers.separable\_conv1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4fdm2umu.html "TensorFlow函数：tf.layers.separable_conv1d") 30. [TensorFlow函数：tf.layers.separable\_conv2d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5d1u2ur5.html "TensorFlow函数：tf.layers.separable_conv2d") 31. [TensorFlow函数：tf.layers.BatchNormalization](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s9w62v9e.html "TensorFlow函数：tf.layers.BatchNormalization") 14. [TensorFlow使用之Python/tf.linalg]("TensorFlow使用之Python/tf.linalg") 1. [TensorFlow模块：tf.linalg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pcx62vdu.html "TensorFlow模块：tf.linalg") 2. [TensorFlow函数：tf.linalg.adjoint](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ej832ve7.html "TensorFlow函数：tf.linalg.adjoint") 3. [TensorFlow函数：tf.linalg.expm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-oh8z2vh5.html "TensorFlow函数：tf.linalg.expm") 4. [TensorFlow函数：tf.linalg.logdet](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ljeo2vkt.html "TensorFlow函数：tf.linalg.logdet") 5. [TensorFlow函数：tf.linalg.logm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-649l2vnj.html "TensorFlow函数：tf.linalg.logm") 6. [TensorFlow函数：tf.linalg.slogdet](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9tch2vnk.html "TensorFlow函数：tf.linalg.slogdet") 7. [TensorFlow函数：tf.linalg.LinearOperator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cfyd2vro.html "TensorFlow函数：tf.linalg.LinearOperator") 15. [TensorFlow使用之tf.logging]("TensorFlow使用之tf.logging") 1. [TensorFlow模块：tf.logging](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2s9x2w1v.html "TensorFlow模块：tf.logging") 2. [TensorFlow函数：tf.logging.debug](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-18li2w8a.html "TensorFlow函数：tf.logging.debug") 3. [TensorFlow函数：tf.logging.error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-su1d2w8b.html "TensorFlow函数：tf.logging.error") 4. [TensorFlow函数：tf.logging.fatal](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-djo72w8c.html "TensorFlow函数：tf.logging.fatal") 5. [TensorFlow函数：tf.logging.flush](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4fvn2wbw.html "TensorFlow函数：tf.logging.flush") 6. [TensorFlow函数：tf.logging.get\_verbosity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h8xe2wby.html "TensorFlow函数：tf.logging.get_verbosity") 7. [TensorFlow函数：tf.logging.info](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5fdi2wbz.html "TensorFlow函数：tf.logging.info") 8. [TensorFlow函数：tf.logging.log](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-csdb2wc0.html "TensorFlow函数：tf.logging.log") 9. [TensorFlow函数：tf.logging.log\_every\_n](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ve5f2wc2.html "TensorFlow函数：tf.logging.log_every_n") 10. [TensorFlow函数：tf.logging.log\_first\_n](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sk182wf5.html "TensorFlow函数：tf.logging.log_first_n") 11. [TensorFlow函数：tf.logging.log\_if](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4tym2wf7.html "TensorFlow函数：tf.logging.log_if") 12. [TensorFlow函数：tf.logging.set\_verbosity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nfws2wiq.html "TensorFlow函数：tf.logging.set_verbosity") 13. [TensorFlow函数：tf.logging.TaskLevelStatusMessage](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lwdp2wir.html "TensorFlow函数：tf.logging.TaskLevelStatusMessage") 14. [TensorFlow函数：tf.logging.vlog](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6vkl2wis.html "TensorFlow函数：tf.logging.vlog") 15. [TensorFlow函数：tf.logging.warn](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n1wc2wit.html "TensorFlow函数：tf.logging.warn") 16. [TensorFlow函数：tf.logging.warning](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-217a2wiu.html "TensorFlow函数：tf.logging.warning") 16. [TensorFlow使用之tf.losses]("TensorFlow使用之tf.losses") 1. [TensorFlow模块：tf.losses](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2pms2wkq.html "TensorFlow模块：tf.losses") 2. [TensorFlow函数：tf.losses.absolute\_difference](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q5rw2wkt.html "TensorFlow函数：tf.losses.absolute_difference") 3. [TensorFlow函数：tf.losses.add\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-emay2wmr.html "TensorFlow函数：tf.losses.add_loss") 4. [TensorFlow函数：tf.losses.compute\_weighted\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rbjl2wms.html "TensorFlow函数：tf.losses.compute_weighted_loss") 5. [TensorFlow函数：tf.losses.cosine\_distance](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wuh22wqk.html "TensorFlow函数：tf.losses.cosine_distance") 6. [TensorFlow函数：tf.losses.get\_losses](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lvgw2wqn.html "TensorFlow函数：tf.losses.get_losses") 7. [TensorFlow函数：tf.losses.get\_regularization\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lqif2wtw.html "TensorFlow函数：tf.losses.get_regularization_loss") 8. [TensorFlow函数：tf.losses.get\_regularization\_losses](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-knft2wtx.html "TensorFlow函数：tf.losses.get_regularization_losses") 9. [TensorFlow函数：tf.losses.get\_total\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cz5s2wwd.html "TensorFlow函数：tf.losses.get_total_loss") 10. [TensorFlow函数：tf.losses.hinge\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tnbj2wyg.html "TensorFlow函数：tf.losses.hinge_loss") 11. [TensorFlow函数：tf.losses.huber\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2cbn2wyj.html "TensorFlow函数：tf.losses.huber_loss") 12. [TensorFlow函数：tf.losses.log\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-14tm2x16.html "TensorFlow函数：tf.losses.log_loss") 13. [TensorFlow函数：tf.losses.mean\_pairwise\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f9u82x7n.html "TensorFlow函数：tf.losses.mean_pairwise_squared_error") 14. [TensorFlow函数：tf.losses.mean\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zkxr2x87.html "TensorFlow函数：tf.losses.mean_squared_error") 15. [TensorFlow函数：tf.losses.Reduction](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-klgu2xrk.html "TensorFlow函数：tf.losses.Reduction") 16. [TensorFlow函数：tf.losses.sigmoid\_cross\_entropy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hdfb2xtv.html "TensorFlow函数：tf.losses.sigmoid_cross_entropy") 17. [TensorFlow函数：tf.losses.softmax\_cross\_entropy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hrga2y89.html "TensorFlow函数：tf.losses.softmax_cross_entropy") 18. [TensorFlow函数：tf.losses.sparse\_softmax\_cross\_entropy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uh2n2y8b.html "TensorFlow函数：tf.losses.sparse_softmax_cross_entropy") 17. [TensorFlow使用之tf.math]("TensorFlow使用之tf.math") 1. [TensorFlow模块：tf.math](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aced2ycp.html "TensorFlow模块：tf.math") 2. [TensorFlow函数：tf.math.polyval](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7kh12yd1.html "TensorFlow函数：tf.math.polyval") 18. [TensorFlow使用之tf.metrics]("TensorFlow使用之tf.metrics") 1. [TensorFlow模块：tf.metrics](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ke8y2yhg.html "TensorFlow模块：tf.metrics") 2. [TensorFlow函数：tf.metrics.accuracy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7tus2yhp.html "TensorFlow函数：tf.metrics.accuracy") 3. [TensorFlow函数：tf.metrics.auc](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mct22yk9.html "TensorFlow函数：tf.metrics.auc") 4. [TensorFlow函数：tf.metrics.average\_precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lajz2yop.html "TensorFlow函数：tf.metrics.average_precision_at_k") 5. [TensorFlow函数：tf.metrics.false\_negatives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5xz62yrm.html "TensorFlow函数：tf.metrics.false_negatives") 6. [TensorFlow函数：tf.metrics.false\_negatives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-68ez2yun.html "TensorFlow函数：tf.metrics.false_negatives_at_thresholds") 7. [TensorFlow函数：tf.metrics.false\_positives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wi562yxa.html "TensorFlow函数：tf.metrics.false_positives") 8. [TensorFlow函数：tf.metrics.false\_positives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o2d92z0l.html "TensorFlow函数：tf.metrics.false_positives_at_thresholds") 9. [TensorFlow函数：tf.metrics.mean](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rwlo2z1r.html "TensorFlow函数：tf.metrics.mean") 10. [TensorFlow函数：tf.metrics.mean\_absolute\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-iftl2z24.html "TensorFlow函数：tf.metrics.mean_absolute_error") 11. [TensorFlow函数：tf.metrics.mean\_cosine\_distance](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1mu62z2a.html "TensorFlow函数：tf.metrics.mean_cosine_distance") 12. [TensorFlow函数：tf.metrics.mean\_iou](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ujb12z2k.html "TensorFlow函数：tf.metrics.mean_iou") 13. [TensorFlow函数：tf.metrics.mean\_per\_class\_accuracy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4dfk2z2p.html "TensorFlow函数：tf.metrics.mean_per_class_accuracy") 14. [TensorFlow函数：tf.metrics.mean\_relative\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6zke2z31.html "TensorFlow函数：tf.metrics.mean_relative_error") 15. [TensorFlow函数：tf.metrics.mean\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9sfy2z32.html "TensorFlow函数：tf.metrics.mean_squared_error") 16. [TensorFlow函数：tf.metrics.mean\_tensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-t5zg2z33.html "TensorFlow函数：tf.metrics.mean_tensor") 17. [TensorFlow函数：tf.metrics.percentage\_below](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q6cj2z3y.html "TensorFlow函数：tf.metrics.percentage_below") 18. [TensorFlow函数：tf.metrics.precision](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pmdi2z4d.html "TensorFlow函数：tf.metrics.precision") 19. [TensorFlow函数：tf.metrics.precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fk9n2z4r.html "TensorFlow函数：tf.metrics.precision_at_k") 20. [TensorFlow函数：tf.metrics.precision\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4x6s2z4s.html "TensorFlow函数：tf.metrics.precision_at_thresholds") 21. [TensorFlow函数：tf.metrics.precision\_at\_top\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ovlp2z71.html "TensorFlow函数：tf.metrics.precision_at_top_k") 22. [TensorFlow函数：tf.metrics.recall](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7nev2z7u.html "TensorFlow函数：tf.metrics.recall") 23. [TensorFlow函数：tf.metrics.recall\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-k8fa2z7v.html "TensorFlow函数：tf.metrics.recall_at_k") 24. [TensorFlow函数：tf.metrics.recall\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kn9h2z85.html "TensorFlow函数：tf.metrics.recall_at_thresholds") 25. [TensorFlow函数：tf.metrics.recall\_at\_top\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-a8ur2z86.html "TensorFlow函数：tf.metrics.recall_at_top_k") 26. [TensorFlow函数：tf.metrics.root\_mean\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-15ev2z8o.html "TensorFlow函数：tf.metrics.root_mean_squared_error") 27. [TensorFlow函数：tf.metrics.sensitivity\_at\_specificity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5t192z96.html "TensorFlow函数：tf.metrics.sensitivity_at_specificity") 28. [TensorFlow函数：tf.metrics.sparse\_average\_precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nu6d2z9f.html "TensorFlow函数：tf.metrics.sparse_average_precision_at_k") 29. [TensorFlow函数：tf.metrics.sparse\_precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-r79f2z9h.html "TensorFlow函数：tf.metrics.sparse_precision_at_k") 30. [TensorFlow函数：tf.metrics.specificity\_at\_sensitivity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h3v12zap.html "TensorFlow函数：tf.metrics.specificity_at_sensitivity") 31. [TensorFlow函数：tf.metrics.true\_negatives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p93f2zb0.html "TensorFlow函数：tf.metrics.true_negatives") 32. [TensorFlow函数：tf.metrics.true\_negatives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-of6n2zdn.html "TensorFlow函数：tf.metrics.true_negatives_at_thresholds") 33. [TensorFlow函数：tf.metrics.true\_positives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-547k2zdo.html "TensorFlow函数：tf.metrics.true_positives") 34. [TensorFlow函数：tf.metrics.true\_positives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jefs2zfa.html "TensorFlow函数：tf.metrics.true_positives_at_thresholds") 19. [TensorFlow使用之tf.manip]("TensorFlow使用之tf.manip") 1. [TensorFlow模块：tf.manip](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ow42yal.html "TensorFlow模块：tf.manip") 2. [TensorFlow函数：tf.manip.roll](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2k8u2yam.html "TensorFlow函数：tf.manip.roll") 20. [TensorFlow使用之tf.nn]("TensorFlow使用之tf.nn") 1. [tf.nn概览](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fjqh2zgc.html "TensorFlow模块：tf.nn") 2. [all\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1wu62zh8.html "TensorFlow函数：tf.nn.all_candidate_sampler") 3. [atrous\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_atrous_conv2d.html "TensorFlow函数：tf.nn.atrous_conv2d") 4. [atrous\_conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_nn_atrous_conv2d_transpose.html "TensorFlow函数：tf.nn.atrous_conv2d_transpose") 5. [avg\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_avg_pool.html "TensorFlow函数：tf.nn.avg_pool") 6. [avg\_pool3d](https://www.w3cschool.cn/tensorflow_python/tf_nn_avg_pool3d.html "TensorFlow函数：tf.nn.avg_pool3d") 7. [batch\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_nn_batch_normalization.html "TensorFlow函数：tf.nn.batch_normalization") 8. [batch\_norm\_with\_global\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_nn_batch_norm_with_global_normalization.html "TensorFlow函数：tf.nn.batch_norm_with_global_normalization") 9. [bias\_add](https://www.w3cschool.cn/tensorflow_python/tf_nn_bias_add.html "TensorFlow函数：tf.nn.bias_add") 10. [bidirectional\_dynamic\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_bidirectional_dynamic_rnn.html "TensorFlow函数：tf.nn.bidirectional_dynamic_rnn") 11. [compute\_accidental\_hits](https://www.w3cschool.cn/tensorflow_python/tf_nn_compute_accidental_hits.html "TensorFlow函数：tf.nn.compute_accidental_hits") 12. [conv1d](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv1d.html "TensorFlow函数：tf.nn.conv1d") 13. [conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d.html "TensorFlow函数：tf.nn.conv2d") 14. [conv2d\_backprop\_filter](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d_backprop_filter.html "TensorFlow函数：tf.nn.conv2d_backprop_filter") 15. [conv2d\_backprop\_input](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d_backprop_input.html "TensorFlow函数：tf.nn.conv2d_backprop_input") 16. [conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d_transpose.html "TensorFlow函数：tf.nn.conv2d_transpose") 17. [conv3d](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv3d.html "TensorFlow函数教程：tf.nn.conv3d") 18. [conv3d\_backprop\_filter\_v2](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv3d_backprop_filter_v2.html "TensorFlow函数教程：tf.nn.conv3d_backprop_filter_v2") 19. [conv3d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv3d_transpose.html "TensorFlow函数教程：tf.nn.conv3d_transpose") 20. [convolution](https://www.w3cschool.cn/tensorflow_python/tf_nn_convolution.html "TensorFlow函数教程：tf.nn.convolution") 21. [crelu](https://www.w3cschool.cn/tensorflow_python/tf_nn_crelu.html "TensorFlow函数教程：tf.nn.crelu") 22. [ctc\_beam\_search\_decoder](https://www.w3cschool.cn/tensorflow_python/tf_nn_ctc_beam_search_decoder.html "TensorFlow函数教程：tf.nn.ctc_beam_search_decoder") 23. [ctc\_greedy\_decoder](https://www.w3cschool.cn/tensorflow_python/tf_nn_ctc_greedy_decoder.html "TensorFlow函数教程：tf.nn.ctc_greedy_decoder") 24. [ctc\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_ctc_loss.html "TensorFlow函数教程：tf.nn.ctc_loss") 25. [depthwise\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d.html "TensorFlow函数教程：tf.nn.depthwise_conv2d") 26. [depthwise\_conv2d\_native](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d_native.html "TensorFlow函数教程：tf.nn.depthwise_conv2d_native") 27. [depthwise\_conv2d\_native\_backprop\_filter](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d_native_backprop_filter.html "TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_filter") 28. [depthwise\_conv2d\_native\_backprop\_input](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d_native_backprop_input.html "TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_input") 29. [dilation2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_dilation2d.html "TensorFlow函数教程：tf.nn.dilation2d") 30. [dropout](https://www.w3cschool.cn/tensorflow_python/tf_nn_dropout.html "TensorFlow函数教程：tf.nn.dropout") 31. [dynamic\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_dynamic_rnn.html "TensorFlow函数教程：tf.nn.dynamic_rnn") 32. [elu](https://www.w3cschool.cn/tensorflow_python/tf_nn_elu.html "TensorFlow函数教程：tf.nn.elu") 33. [embedding\_lookup](https://www.w3cschool.cn/tensorflow_python/tf_nn_embedding_lookup.html "TensorFlow函数教程：tf.nn.embedding_lookup") 34. [embedding\_lookup\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_nn_embedding_lookup_sparse.html "TensorFlow函数教程：tf.nn.embedding_lookup_sparse") 35. [erosion2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_erosion2d.html "TensorFlow函数教程：tf.nn.erosion2d") 36. [fixed\_unigram\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tf_nn_fixed_unigram_candidate_sampler.html "TensorFlow函数教程：tf.nn.fixed_unigram_candidate_sampler") 37. [fractional\_avg\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_fractional_avg_pool.html "TensorFlow函数教程：tf.nn.fractional_avg_pool") 38. [fractional\_max\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_fractional_max_pool.html "TensorFlow函数教程： tf.nn.fractional_max_pool") 39. [fused\_batch\_norm](https://www.w3cschool.cn/tensorflow_python/tf_nn_fused_batch_norm.html "TensorFlow函数教程：tf.nn.fused_batch_norm") 40. [in\_top\_k](https://www.w3cschool.cn/tensorflow_python/tf_nn_in_top_k.html "TensorFlow函数教程：tf.nn.in_top_k") 41. [l2\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_l2_loss.html "TensorFlow函数教程：tf.nn.l2_loss") 42. [l2\_normalize](https://www.w3cschool.cn/tensorflow_python/tf_nn_l2_normalize.html "TensorFlow函数教程：tf.nn.l2_normalize") 43. [leaky\_relu](https://www.w3cschool.cn/tensorflow_python/tf_nn_leaky_relu.html "TensorFlow函数教程：tf.nn.leaky_relu") 44. [learned\_unigram\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tf_nn_learned_unigram_candidate_sampler.html "TensorFlow函数教程：tf.nn.learned_unigram_candidate_sampler") 45. [local\_response\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_nn_local_response_normalization.html "TensorFlow函数教程：tf.nn.local_response_normalization") 46. [log\_poisson\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_log_poisson_loss.html "TensorFlow函数教程：tf.nn.log_poisson_loss") 47. [log\_softmax](https://www.w3cschool.cn/tensorflow_python/tf_nn_log_softmax.html "TensorFlow函数教程：tf.nn.log_softmax") 48. [log\_uniform\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tf_nn_log_uniform_candidate_sampler.html "TensorFlow函数教程：tf.nn.log_uniform_candidate_sampler") 49. [max\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_max_pool.html "TensorFlow函数教程：tf.nn.max_pool") 50. [max\_pool3d](https://www.w3cschool.cn/tensorflow_python/tf_nn_max_pool3d.html "TensorFlow函数教程：tf.nn.max_pool3d") 51. [max\_pool\_with\_argmax](https://www.w3cschool.cn/tensorflow_python/tf_nn_max_pool_with_argmax.html "TensorFlow函数教程：tf.nn.max_pool_with_argmax") 52. [moments](https://www.w3cschool.cn/tensorflow_python/tf_nn_moments.html "TensorFlow函数教程：tf.nn.moments") 53. [nce\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_nce_loss.html "TensorFlow函数教程：tf.nn.nce_loss") 54. [normalize\_moments](https://www.w3cschool.cn/tensorflow_python/tf_nn_normalize_moments.html "TensorFlow函数教程：tf.nn.normalize_moments") 55. [pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_pool.html "TensorFlow函数教程：tf.nn.pool") 56. [quantized\_avg\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_avg_pool.html "TensorFlow函数教程：tf.nn.quantized_avg_pool") 57. [quantized\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_conv2d.html "TensorFlow函数教程：tf.nn.quantized_conv2d") 58. [quantized\_max\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_max_pool.html "TensorFlow函数教程：tf.nn.quantized_max_pool") 59. [quantized\_relu\_x](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_relu_x.html "TensorFlow函数教程：tf.nn.quantized_relu_x") 60. [relu](https://www.w3cschool.cn/tensorflow_python/tf_nn_relu.html "TensorFlow函数教程：tf.nn.relu") 61. [relu6](https://www.w3cschool.cn/tensorflow_python/tf_nn_relu6.html "TensorFlow函数教程：tf.nn.relu6") 62. [relu\_layer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l7i3300n.html "TensorFlow函数教程：tf.nn.relu_layer") 63. [selu](https://www.w3cschool.cn/tensorflow_python/tf_nn_selu.html "TensorFlow函数教程：tf.nn.selu") 64. [separable\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_separable_conv2d.html "TensorFlow函数教程：tf.nn.separable_conv2d") 65. [sigmoid\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_sigmoid_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.sigmoid_cross_entropy_with_logits") 66. [softmax](https://www.w3cschool.cn/tensorflow_python/tf_nn_softmax.html "TensorFlow函数教程：tf.nn.softmax") 67. [softmax\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_softmax_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits") 68. [softmax\_cross\_entropy\_with\_logits\_v2](https://www.w3cschool.cn/tensorflow_python/tf_nn_softmax_cross_entropy_with_logits_v2.html "TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits_v2") 69. [softsign](https://www.w3cschool.cn/tensorflow_python/tf_nn_softsign.html "TensorFlow函数教程：tf.nn.softsign") 70. [space\_to\_batch](https://www.w3cschool.cn/tensorflow_python/tf_nn_space_to_batch.html "TensorFlow函数教程：tf.nn.space_to_batch") 71. [space\_to\_depth](https://www.w3cschool.cn/tensorflow_python/tf_nn_space_to_depth.html "TensorFlow函数教程：tf.nn.space_to_depth") 72. [sparse\_softmax\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_sparse_softmax_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.sparse_softmax_cross_entropy_with_logits") 73. [static\_bidirectional\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_static_bidirectional_rnn.html "TensorFlow函数教程：tf.nn.static_bidirectional_rnn") 74. [static\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_static_rnn.html "TensorFlow函数教程：tf.nn.static_rnn") 75. [static\_state\_saving\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_static_state_saving_rnn.html "TensorFlow函数教程：tf.nn.static_state_saving_rnn") 76. [sufficient\_statistics](https://www.w3cschool.cn/tensorflow_python/tf_nn_sufficient_statistics.html "TensorFlow函数教程：tf.nn.sufficient_statistics") 77. [weighted\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_weighted_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.weighted_cross_entropy_with_logits") 78. [weighted\_moments](https://www.w3cschool.cn/tensorflow_python/tf_nn_weighted_moments.html "TensorFlow函数教程：tf.nn.weighted_moments") 79. [with\_space\_to\_batch](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-di2j3038.html "TensorFlow函数教程：tf.nn.with_space_to_batch") 80. [xw\_plus\_b](https://www.w3cschool.cn/tensorflow_python/tf_nn_xw_plus_b.html "TensorFlow函数教程：tf.nn.xw_plus_b") 21. [TensorFlow使用之tf.profiler]("TensorFlow使用之tf.profiler") 1. [tf.profiler概览](https://www.w3cschool.cn/tensorflow_python/tf_profiler.html "tf.profiler概览") 2. [AdviceProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_AdviceProto.html "TensorFlow函数教程：tf.profiler.AdviceProto") 3. [AdviceProto.Checker](https://www.w3cschool.cn/tensorflow_python/tf_profiler_AdviceProto_Checker.html "TensorFlow函数教程：tf.profiler.AdviceProto.Checker") 4. [AdviceProto.CheckersEntry](https://www.w3cschool.cn/tensorflow_python/tf_profiler_AdviceProto_CheckersEntry.html "TensorFlow函数教程：tf.profiler.AdviceProto.CheckersEntry") 5. [advise](https://www.w3cschool.cn/tensorflow_python/tf_profiler_advise.html "TensorFlow函数教程：tf.profiler.advise") 6. [GraphNodeProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_GraphNodeProto.html "TensorFlow函数教程：tf.profiler.GraphNodeProto") 7. [GraphNodeProto.InputShapesEntry](https://www.w3cschool.cn/tensorflow_python/tf_profiler_GraphNodeProto_InputShapesEntry.html "TensorFlow函数教程：tf.profiler.GraphNodeProto.InputShapesEntry") 8. [MultiGraphNodeProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_MultiGraphNodeProto.html "TensorFlow函数教程：tf.profiler.MultiGraphNodeProto") 9. [OpLogProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_OpLogProto.html "TensorFlow函数教程：tf.profiler.OpLogProto") 10. [OpLogProto.IdToStringEntry](https://www.w3cschool.cn/tensorflow_python/tf_profiler_OpLogProto_IdToStringEntry.html "TensorFlow函数教程：tf.profiler.OpLogProto.IdToStringEntry") 11. [profile](https://www.w3cschool.cn/tensorflow_python/tf_profiler_profile.html "TensorFlow函数教程：tf.profiler.profile") 12. [ProfileOptionBuilder](https://www.w3cschool.cn/tensorflow_python/tf_profiler_ProfileOptionBuilder.html "TensorFlow函数教程：tf.profiler.ProfileOptionBuilder") 13. [Profiler](https://www.w3cschool.cn/tensorflow_python/tf_profiler_Profiler.html "TensorFlow函数教程：tf.profiler.Profiler") 14. [write\_op\_log](https://www.w3cschool.cn/tensorflow_python/tf_profiler_write_op_log.html "TensorFlow函数教程：tf.profiler.write_op_log") 22. [TensorFlow使用之tf.python\_io]("TensorFlow使用之tf.python_io") 1. [tf.python\_io概览](https://www.w3cschool.cn/tensorflow_python/tf_python_io.html "tf.python_io概览") 23. [TensorFlow使用之tf.queue]("TensorFlow使用之tf.queue") 1. [PriorityQueue](https://www.w3cschool.cn/tensorflow_python/tf_queue_PriorityQueue.html "TensorFlow函数教程：tf.queue.PriorityQueue") 2. [QueueBase](https://www.w3cschool.cn/tensorflow_python/tf_queue_QueueBase.html "TensorFlow函数教程：tf.queue.QueueBase") 2. [如何导出estimator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dp7q2dsj.html "如何导出estimator") 1. [TensorFlow解析Example](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z75l2dsm.html "TensorFlow解析Example") 2. [TensorFlow分类头的输出设置](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fcra2dsr.html "TensorFlow分类头的输出设置") 3. [TensorFlow使用之tf.lite]("TensorFlow使用之tf.lite") 1. [tf.lite概览](https://www.w3cschool.cn/tensorflow_python/tf_lite.html "TensorFlow模块：tf.lite") 2. [Interpreter](https://www.w3cschool.cn/tensorflow_python/tf_lite_Interpreter.html "TensorFlow函数教程：tf.lite.Interpreter") 3. [OpHint](https://www.w3cschool.cn/tensorflow_python/tf_lite_OpHint.html "TensorFlow函数教程：tf.lite.OpHint") 4. [OpHintArgumentTracker](https://www.w3cschool.cn/tensorflow_python/tf_lite_OpHint_OpHintArgumentTracker.html "TensorFlow函数教程：tf.lite.OpHint.OpHintArgumentTracker") 5. [OpsSet](https://www.w3cschool.cn/tensorflow_python/tf_lite_OpsSet.html "TensorFlow函数教程：tf.lite.OpsSet") 6. [TFLiteConverter](https://www.w3cschool.cn/tensorflow_python/tf_lite_TFLiteConverter.html "TensorFlow函数教程：tf.lite.TFLiteConverter") 7. [TocoConverter](https://www.w3cschool.cn/tensorflow_python/tf_lite_TocoConverter.html "TensorFlow函数教程：tf.lite.TocoConverter") 8. [toco\_convert](https://www.w3cschool.cn/tensorflow_python/tf_lite_toco_convert.html "TensorFlow函数教程：tf.lite.toco_convert") 4. [TensorFlow 功能函数]("TensorFlow 功能函数") 1. [TensorFlow 计算张量的绝对值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u5a128yk.html "TensorFlow 计算张量的绝对值") 2. [TensorFlow 返回张量列表的元素和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hsfk2c80.html "TensorFlow 返回张量列表的元素和") 3. [TensorFlow 计算张量元素的 acos](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n6872c84.html "TensorFlow 计算张量元素的 acos") 4. [TensorFlow 计算张量的和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rgow2c85.html "TensorFlow 计算张量的和") 5. [TensorFlow check\_numerics操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-e1ou2c86.html "TensorFlow check_numerics操作") 6. [TensorFlow 添加张量元素](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i6t32c87.html "TensorFlow 添加张量元素") 7. [TensorFlow 包装Graph.add\_to](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g6s42c89.html "TensorFlow 包装Graph.add_to") 8. [TensorFlow 梯度组合](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w8a92c8a.html "TensorFlow 梯度组合") 9. [TensorFlow 返回张量的最大值索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lbm22c8b.html "TensorFlow 返回张量的最大值索引") 10. [TensorFlow 返回张量的最小值索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yzgj2c8d.html "TensorFlow 返回张量的最小值索引") 11. [TensorFlow 返回张量维度上最大值的索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ao4e2c8e.html "TensorFlow 返回张量维度上最大值的索引") 12. [TensorFlow 返回张量维度上最小值的索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tdjh2c8g.html "TensorFlow 返回张量维度上最小值的索引") 13. [TensorFlow 计算asin中的元素](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c6y32c8h.html "TensorFlow 计算asin中的元素") 14. [TensorFlow中Assert相关函数说明](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-69le2c8i.html "TensorFlow中Assert相关函数说明") 15. [TensorFlow中assign函数说明](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b4x72chd.html "TensorFlow中assign函数说明") 16. [TensorFlow 将给定的 type\_value 转换为 DType](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p61j2ckb.html "TensorFlow 将给定的 type_value 转换为 DType") 17. [TensorFlow 将给定张量的条目转换为字符串](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mv3p2ckd.html "TensorFlow 将给定张量的条目转换为字符串") 18. [TensorFlow 计算元素的反正切](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4fnz2ckf.html "TensorFlow 计算元素的反正切") 19. [TensorFlow AttrValue类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4sdh2ckk.html "TensorFlow AttrValue类") 20. [TensorFlow BatchToSpace的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bnyg2ckl.html "TensorFlow BatchToSpace的使用") 21. [TensorFlow 计算正则化的不完全beta积分](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7v1x2cmg.html "TensorFlow 计算正则化的不完全beta积分") 22. [TensorFlow 计算整数数组值出现的次数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-peiz2cmo.html "TensorFlow 计算整数数组值出现的次数") 23. [TensorFlow 张量类型转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2t7u2cmq.html "TensorFlow 张量类型转换") 24. [TensorFlow 在张量上应用布尔掩码](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nvek2cmu.html "TensorFlow 在张量上应用布尔掩码") 25. [TensorFlow 返回广播形状](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ucpd2cnc.html "TensorFlow 返回广播形状") 26. [TensorFlow 创建case](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8wgl2co7.html "TensorFlow 创建case") 27. [TensorFlow 张量投射](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zfsn2coc.html "TensorFlow 张量投射") 28. [TensorFlow 使用ceil返回不下于x的最小整数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bqr32cto.html "使用ceil返回不下于x的最小整数") 29. [TensorFlow 检查NaN和Inf值的张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dz6u2ctp.html "TensorFlow检查NaN和Inf值的张量") 30. [TensorFlow计算方阵的Cholesky分解](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o8592cut.html "TensorFlow计算方阵的Cholesky分解") 31. [将TensorFlow张量值剪辑到最大平均L2-norm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5onx2cuu.html "将TensorFlow张量值剪辑到最大平均L2-norm") 32. [TensorFlow通过规范总和的比例剪切张量的值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1dmp2cx7.html "TensorFlow通过规范总和的比例剪切张量的值") 33. [TensorFlow 将张量值剪辑到最大 L2-norm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jy7l2cx8.html "将TensorFlow张量值剪辑到最大 L2-norm") 34. [TensorFlow 将张量剪辑为指定的最大值和最小值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hz2c2cxb.html "剪辑TensorFlow张量为指定的最大值和最小值") 35. [TensorFlow 将实数转换为复数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h6tb2cxc.html "如何将TensorFlow的实数转换为复数") 36. [TensorFlow 将张量沿一个维度串联](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-euxa2cz7.html "将TensorFlow张量沿一个维度串联") 37. [TensorFlow tf.cond函数的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w47x2cz8.html "tf.cond函数的使用") 38. [TensorFlow聚合梯度的条件累加器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p5h32czb.html "TensorFlow聚合梯度的条件累加器") 39. [如何使用ConditionalAccumulatorBase](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-586o2d2v.html "如何使用ConditionalAccumulatorBase") 40. [TensorFlow如何计算混淆矩阵](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d4p62d2x.html "TensorFlow如何计算混淆矩阵") 41. [如何使用conj](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-e2812d2z.html "如何使用conj") 42. [在TensorFlow中使用constant函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jabh2d30.html "在TensorFlow中使用constant函数") 43. [TensorFlow使用初始化器生成具有常量值的张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vy2d2d4r.html "TensorFlow使用初始化器生成具有常量值的张量") 44. [container的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1hza2d4v.html "container的使用") 45. [control\_dependencies的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bguz2d73.html "control_dependencies的使用") 46. [TensorFlow将给定值转换为张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g2tw2d76.html "TensorFlow将给定值转换为张量") 47. [TensorFlow将给定的对象转换为张量或IndexedSlices](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c6r72d77.html "TensorFlow将给定的对象转换为张量或IndexedSlices") 48. [TensorFlow将值转换为SparseTensor或张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wl1v2d78.html "TensorFlow将值转换为SparseTensor或张量") 49. [计算TensorFlow元素的cos值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ogbm2ddb.html "计算TensorFlow元素的cos值") 50. [TensorFlow元素的双曲余弦](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cl572ddc.html "TensorFlow元素的双曲余弦") 51. [计算TensorFlow中非零元素的个数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tr5s2ddf.html "计算TensorFlow中非零元素的个数") 52. [TensorFlow对ref进行递增](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4bps2ddg.html "TensorFlow对ref进行递增") 53. [TensorFlow怎么创建分区变量列表](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kigf2ddh.html "TensorFlow怎么创建分区变量列表") 54. [计算张量沿轴的累积积](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ug6f2df4.html "计算张量沿轴的累积积") 55. [TensorFlow张量的累积和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4pkj2dhm.html "TensorFlow张量的累积和") 56. [TensorFlow字符串解码](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aod42dhp.html "TensorFlow字符串解码") 57. [TensorFlow CSV转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9lc22dhr.html "TensorFlow CSV转换") 58. [JSON编码的示例记录转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ipov2dj7.html "JSON编码的示例记录转换") 59. [TensorFlow将raw格式转换为张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sw7v2dj8.html "TensorFlow将raw格式转换为张量") 60. [TensorFlow数据从深度排列为空间数据块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lrb62djd.html "TensorFlow数据从深度排列为空间数据块") 61. [反量化TensorFlow张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hgen2dje.html "反量化TensorFlow张量") 62. [TensorFlow设备规范](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nlfw2du0.html "TensorFlow设备规范") 63. [使用diag返回对角张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c3e22du4.html "使用diag返回对角张量") 64. [TensorFlow如何返回对角线](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vr4o2dxa.html "TensorFlow如何返回对角线") 65. [TensorFlow除法运算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yxij2dxd.html "TensorFlow除法运算") 66. [使用Dimension类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-odpm2dxe.html "使用Dimension类") 67. [TensorFlow张量的元素类型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d6x22e0f.html "TensorFlow张量的元素类型") 68. [TensorFlow分区索引的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l84d2e19.html "TensorFlow分区索引的使用") 69. [如何插入TensorFlow数据张量的值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tcwk2e3z.html "如何插入TensorFlow数据张量的值") 70. [计算TensorFlow序列之间的编辑距离](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ovtr2e43.html "计算TensorFlow序列之间的编辑距离") 71. [TensorFlow如何实现张量收缩](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qszk2e44.html "TensorFlow如何实现张量收缩") 72. [TensorFlow实现字符串编码](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ux292e7n.html "TensorFlow实现字符串编码") 73. [TensorFlow怎么使用equal函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gwj82e7u.html "怎么使用equal函数") 74. [TensorFlow误差函数计算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-k52n2e7y.html "TensorFlow误差函数计算") 75. [计算TensorFlow元素的指数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fewr2e80.html "计算TensorFlow元素的指数") 76. [如何在TensorFlow张量形状中插入维度](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-x5ic2ecp.html "如何在TensorFlow张量形状中插入维度") 77. [构造TensorFlow的单位矩阵](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gt7i2ed3.html "构造TensorFlow的单位矩阵") 78. [怎么对TensorFlow进行假量化](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-iw8n2ei2.html "怎么对TensorFlow进行假量化") 79. [TensorFlow快速傅里叶变换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n1j32ei4.html "TensorFlow快速傅里叶变换") 80. [利用标量值填充TensorFlow张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-onqp2ei6.html "利用标量值填充TensorFlow张量") 81. [TensorFlow怎么解析固定长度输入功能](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-85v32emy.html "TensorFlow怎么解析固定长度输入功能") 82. [TensorFlow从文件中输出记录的读取器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sp792epm.html "TensorFlow从文件中输出记录的读取器") 83. [如何将TensorFlow输入特征解析为张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pmju2epv.html "如何将TensorFlow输入特征解析为张量") 84. [如何使用TensorFlow的floor函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-67vg2epy.html "如何使用TensorFlow的floor函数") 85. [TensorFlow函数：tf.floormod](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-raf72erk.html "TensorFlow函数：tf.floormod") 86. [TensorFlow高阶函数：tf.foldl](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jza52erm.html "TensorFlow高阶函数：tf.foldl") 87. [TensorFlow张量变换函数：tf.gather](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w3uo2err.html "TensorFlow张量变换函数：tf.gather") 88. [TensorFlow函数：tf.gather\_nd](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ctv72eru.html "TensorFlow函数：tf.gather_nd") 89. [TensorFlow函数：get\_collection](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zn8e2euz.html "TensorFlow函数：get_collection") 90. [default函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7fyk2ev2.html "default函数") 91. [TensorFlow函数：get\_session\_handle](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cso52ev7.html "TensorFlow函数：get_session_handle") 92. [TensorFlow变量函数：tf.get\_local\_variable](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fe2i2ev9.html "TensorFlow变量函数：tf.get_local_variable") 93. [tf.get\_variable函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-st6f2ez1.html "tf.get_variable函数") 94. [TensorFlow全局函数：tf.global\_norm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-x42t2ez2.html "TensorFlow全局函数：tf.global_norm") 95. [使用global\_variables获取全局变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4isv2ez3.html "使用global_variables获取全局变量") 96. [TensorFlow初始化器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sbv42ez5.html "TensorFlow初始化器") 97. [TensorFlow梯度计算：tf.gradients](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kbev2ezc.html "TensorFlow梯度计算：tf.gradients") 98. [tf.GraphKeys函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ne7t2ezd.html "tf.GraphKeys函数") 99. [TensorFlow比较函数：tf.greater](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-neuv2f1k.html "TensorFlow比较函数：tf.greater") 100. [TensorFlow流程控制函数：tf.group](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mgxu2f1p.html "TensorFlow流程控制函数：tf.group") 101. [Hessian函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ugsi2f1r.html "Hessian函数") 102. [TensorFlow逆向快速傅里叶变换函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c91g2f1t.html "TensorFlow逆向快速傅里叶变换函数") 103. [Gamma函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l45v2f1w.html "Gamma函数") 104. [TensorFlow复数函数：tf.imag](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uzgw2f1x.html "TensorFlow复数函数：tf.imag") 105. [TensorFlow图形处理函数：tf.import\_graph\_def](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vhtj2f4p.html "TensorFlow图形处理函数：tf.import_graph_def") 106. [TensorFlow函数：IndexedSlices](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d9li2f4s.html "TensorFlow函数：IndexedSlices") 107. [tf.invert\_permutation：张量的逆置换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o6fn2f4t.html "tf.invert_permutation：张量的逆置换") 108. [TensorFlow使用isnan函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8rnb2f4u.html "TensorFlow使用isnan函数") 109. [TensorFlow数学函数：tf.lbeta](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i4p52f4v.html "TensorFlow数学函数：tf.lbeta") 110. [TensorFlow函数：tf.less](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fw182f4x.html "TensorFlow函数：tf.less") 111. [TensorFlow函数：tf.lin\_space](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bdpa2f7u.html "TensorFlow函数：tf.lin_space") 112. [LMDB文件读取器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kpqi2f7v.html "LMDB文件读取器") 113. [加载TensorFlow插件的函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u5hr2f85.html "加载TensorFlow插件的函数") 114. [TensorFlow局部变量：tf.local\_variables](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-r2qh2f8a.html "TensorFlow局部变量：tf.local_variables") 115. [tf.log：计算TensorFlow的自然对数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mesu2f8d.html "tf.log：计算TensorFlow的自然对数") 116. [TensorFlow函数：logical](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sypo2fa0.html "TensorFlow函数：logical") 117. [TensorFlow变量函数：tf.make\_template](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yt182fa1.html "TensorFlow变量函数：tf.make_template") 118. [创建TensorProto](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fxrl2fa6.html "创建TensorProto") 119. [TensorFlow：tf.map\_fn函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ibqv2fdw.html "TensorFlow：tf.map_fn函数") 120. [TensorFlow：tf.matching\_files函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-v1x52fee.html "TensorFlow：tf.matching_files函数") 121. [TensorFlow：tf.matmul函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l5x72feg.html "TensorFlow：tf.matmul函数") 122. [TensorFlow矩阵数学函数：tf.matrix\_band\_part](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lyqv2fgm.html "TensorFlow矩阵数学函数：tf.matrix_band_part") 123. [TensorFlow计算方阵行列式的函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vbhn2fgo.html "TensorFlow计算方阵行列式的函数") 124. [TensorFlow：tf.matrix\_diag函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-htmy2fgq.html "TensorFlow：tf.matrix_diag函数") 125. [TensorFlow：tf.matrix\_inverse函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-39tu2fgu.html "TensorFlow：tf.matrix_inverse函数") 126. [TensorFlow函数：tf.matrix\_set\_diag](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uqdo2fit.html "TensorFlow函数：tf.matrix_set_diag") 127. [TensorFlow函数：tf.matrix\_solve](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8q9l2fiw.html "TensorFlow函数：tf.matrix_solve") 128. [TensorFlow函数：tf.matrix\_solve\_ls](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wkzd2fiy.html "TensorFlow函数：tf.matrix_solve_ls") 129. [TensorFlow函数：tf.matrix\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cqaz2fj2.html "TensorFlow函数：tf.matrix_transpose") 130. [TensorFlow函数：tf.matrix\_triangular\_solve](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d62a2fk5.html "TensorFlow函数：tf.matrix_triangular_solve") 131. [TensorFlow数学函数：tf.maximum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z6y42fk6.html "TensorFlow数学函数：tf.maximum") 132. [TensorFlow张量变换：tf.meshgrid](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-a4xe2fk7.html "TensorFlow张量变换：tf.meshgrid") 133. [TensorFlow数学函数：tf.minimum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3f4v2fk9.html "TensorFlow数学函数：tf.minimum") 134. [TensorFlow变量：tf.min\_max\_variable\_partitioner](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yh7i2fkd.html "TensorFlow变量：tf.min_max_variable_partitioner") 135. [multinomial函数：从多项式分布中抽取样本](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l5d12fln.html "multinomial函数：从多项式分布中抽取样本") 136. [TensorFlow构建图形：tf.name\_scope函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ydnb2flr.html "TensorFlow构建图形：tf.name_scope函数") 137. [TensorFlow函数：tf.negative](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1ink2flu.html "TensorFlow函数：tf.negative") 138. [TensorFlow范数：tf.norm函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-alxk2fqe.html "TensorFlow范数：tf.norm函数") 139. [TensorFlow比较运算符：tf.not\_equal](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h6852fqf.html "TensorFlow比较运算符：tf.not_equal") 140. [TensorFlow函数：tf.ones](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uyfn2fqi.html "TensorFlow函数：tf.ones") 141. [TensorFlow函数：tf.ones\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5brh2fsk.html "TensorFlow函数：tf.ones_initializer") 142. [TensorFlow函数：tf.ones\_like](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wy5d2fsl.html "TensorFlow函数：tf.ones_like") 143. [tf.one\_hot函数：返回one-hot张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fh1b2fsm.html "tf.one_hot函数：返回one-hot张量") 144. [TensorFlow函数：tf.OpError](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jnqa2ftu.html "TensorFlow函数：tf.OpError") 145. [tf.orthogonal\_initializer函数：正交矩阵的初始化器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2t9p2ftv.html "tf.orthogonal_initializer函数：正交矩阵的初始化器") 146. [TensorFlow填充张量函数：tf.pad](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gkxf2fty.html "TensorFlow填充张量函数：tf.pad") 147. [TensorFlow函数：tf.parallel\_stack](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zdwj2fu1.html "TensorFlow函数：tf.parallel_stack") 148. [解析Example原型：tf.parse\_single\_example](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5nrv2fwa.html "解析Example原型：tf.parse_single_example") 149. [TensorFlow占位符：tf.placeholder](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w7yt2fwc.html "TensorFlow占位符：tf.placeholder") 150. [TensorFlow函数：tf.parse\_example](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-y2fl2fyo.html "TensorFlow函数：tf.parse_example") 151. [TensorFlow函数：解析SequenceExample原型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nfqr2fz3.html "TensorFlow函数：解析SequenceExample原型") 152. [TensorFlow占位符操作：tf.placeholder\_with\_default](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fzkm2g13.html "TensorFlow占位符操作：tf.placeholder_with_default") 153. [TensorFlow幂值计算函数：tf.pow](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5kb92g14.html "TensorFlow幂值计算函数：tf.pow") 154. [tf.Print函数：打印张量列表](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sfcv2g3o.html "tf.Print函数：打印张量列表") 155. [包装用于TensorFlow操作的Python函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7eil2g75.html "包装用于TensorFlow操作的Python函数") 156. [tf.qr函数：计算矩阵的QR分解](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2urq2g9d.html "tf.qr函数：计算矩阵的QR分解") 157. [TensorFlow函数：tf.quantized\_concat](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l3x62gas.html "TensorFlow函数：tf.quantized_concat") 158. [TensorFlow张量变换函数：tf.quantize\_v2](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ydjo2gcv.html "TensorFlow张量变换函数：tf.quantize_v2") 159. [TensorFlow函数：tf.random\_crop](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gojy2gfp.html "TensorFlow函数：tf.random_crop") 160. [TensorFlow队列函数：tf.QueueBase](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1lme2ghb.html "TensorFlow队列函数：tf.QueueBase") 161. [TensorFlow函数：tf.random\_gamma](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qsft2gjv.html "TensorFlow函数：tf.random_gamma") 162. [TensorFlow随机值：tf.random\_normal函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n7hl2gmf.html "TensorFlow随机值：tf.random_normal函数") 163. [tf.random\_normal\_initializer：TensorFlow初始化器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b8jq2gqh.html "tf.random_normal_initializer：TensorFlow初始化器") 164. [TensorFlow函数：tf.random\_poisson](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s2ia2gsz.html "TensorFlow函数：tf.random_poisson") 165. [TensorFlow函数：tf.random\_shuffle](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-erti2gv6.html "TensorFlow函数：tf.random_shuffle") 166. [TensorFlow随机值函数：tf.random\_uniform](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rnix2gv7.html "TensorFlow随机值函数：tf.random_uniform") 167. [TensorFlow函数：tf.random\_uniform\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f1np2gyt.html "TensorFlow函数：tf.random_uniform_initializer") 168. [tf.range函数：创建数字序列](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5taw2h1h.html "tf.range函数：创建数字序列") 169. [tf.rank函数：返回TensorFlow张量的秩](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lani2h2z.html "tf.rank函数：返回TensorFlow张量的秩") 170. [TensorFlow读取器基类：tf.ReaderBase](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q1pg2h6e.html "TensorFlow读取器基类：tf.ReaderBase") 171. [TensorFlow函数：tf.real](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5mzj2h9x.html "TensorFlow函数：tf.real") 172. [tf.realdiv函数：x/y元素的实数类型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fi9u2hcl.html "tf.realdiv函数：x/y元素的实数类型") 173. [用于计算倒数的tf.reciprocal函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wdxc2hem.html "用于计算倒数的tf.reciprocal函数") 174. [tf.reduce\_all函数：计算张量在维度上的逻辑和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4ihe2hen.html "tf.reduce_all函数：计算张量在维度上的逻辑和") 175. [TensorFlow函数：tf.reduce\_any](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d2y32hgr.html "TensorFlow函数：tf.reduce_any") 176. [tf.reduce\_join函数：添加字符串张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zku82hj1.html "tf.reduce_join函数：添加字符串张量") 177. [TensorFlow函数：tf.reduce\_logsumexp](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lfkd2hog.html "TensorFlow函数：tf.reduce_logsumexp") 178. [TensorFlow函数：tf.reduce\_max](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wvzy2hqq.html "TensorFlow函数：tf.reduce_max") 179. [TensorFlow函数：tf.reduce\_mean](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hckq2htb.html "TensorFlow函数：tf.reduce_mean") 180. [TensorFlow函数：tf.reduce\_min](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-m6e72huz.html "TensorFlow函数：tf.reduce_min") 181. [TensorFlow函数：tf.reduce\_prod](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jsl62hyf.html "TensorFlow函数：tf.reduce_prod") 182. [TensorFlow函数：tf.reduce\_sum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5y4d2i2n.html "TensorFlow函数：tf.reduce_sum") 183. [TensorFlow函数：tf.RegisterGradient](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zet32i4v.html "TensorFlow函数：tf.RegisterGradient") 184. [TensorFlow函数：将base\_type的对象转换为Tensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kuxj2i7r.html "TensorFlow函数：将base_type的对象转换为Tensor") 185. [TensorFlow：tf.report\_uninitialized\_variables函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kgj12i9l.html "TensorFlow：tf.report_uninitialized_variables函数") 186. [TensorFlow函数：如何计算填充](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jpu92ic6.html "TensorFlow函数：如何计算填充") 187. [TensorFlow：tf.reset\_default\_graph函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nmgf2idd.html "TensorFlow：tf.reset_default_graph函数") 188. [TensorFlow：使用tf.reshape函数重塑张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bumd2ide.html "TensorFlow：使用tf.reshape函数重塑张量") 189. [TensorFlow：tf.reverse函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pjcm2ifr.html "TensorFlow：tf.reverse函数") 190. [TensorFlow函数：tf.reverse\_sequence](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-xhau2ihk.html "TensorFlow函数：tf.reverse_sequence") 191. [tf.reverse\_v2函数：反转张量的特定维度](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7s9u2ikn.html "tf.reverse_v2函数：反转张量的特定维度") 192. [TensorFlow：tf.rint函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p5nz2in4.html "TensorFlow：tf.rint函数") 193. [TensorFlow四舍五入：tf.round函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cnvw2in5.html "TensorFlow四舍五入：tf.round函数") 194. [tf.rsqrt函数：TensorFlow平方根倒数计算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2oh42ipi.html "tf.rsqrt函数：TensorFlow平方根倒数计算") 195. [TensorFlow函数：tf.RunOptions](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-la9q2izr.html "TensorFlow函数：tf.RunOptions") 196. [TensorFlow函数：tf.saturate\_cast](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ht8s2j1k.html "TensorFlow函数：tf.saturate_cast") 197. [TensorFlow数学函数：tf.scalar\_mul](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b18q2j1n.html "TensorFlow数学函数：tf.scalar_mul") 198. [TensorFlow函数：tf.scatter\_nd](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-led42j40.html "TensorFlow函数：tf.scatter_nd") 199. [TensorFlow变量函数：tf.scatter\_nd\_add](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h5yo2j65.html "TensorFlow变量函数：tf.scatter_nd_add") 200. [TensorFlow：tf.scatter\_nd\_sub函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ucfx2j8s.html "TensorFlow：tf.scatter_nd_sub函数") 201. [TensorFlow函数：tf.scatter\_nd\_update](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mvda2jah.html "TensorFlow函数：tf.scatter_nd_update") 202. [TensorFlow函数：tf.scatter\_sub](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1fc52jc9.html "TensorFlow函数：tf.scatter_sub") 203. [tf.scatter\_update函数：将稀疏更新应用于变量引用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g3v22jf1.html "tf.scatter_update函数：将稀疏更新应用于变量引用") 204. [tf.segment\_max函数：计算一个张量的最大沿段](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d53n2jf2.html "tf.segment_max函数：计算一个张量的最大沿段") 205. [TensorFlow：tf.segment\_mean函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3hdm2jgq.html "TensorFlow：tf.segment_mean函数") 206. [TensorFlow：tf.segment\_min函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pvm32jgs.html "TensorFlow：tf.segment_min函数") 207. [TensorFlow：tf.segment\_prod函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ywg2jil.html "TensorFlow：tf.segment_prod函数") 208. [TensorFlow数学函数：tf.segment\_sum函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ua7w2jip.html "TensorFlow数学函数：tf.segment_sum函数") 209. [TensorFlow数学函数：tf.self\_adjoint\_eig](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hxnm2jlw.html "TensorFlow数学函数：tf.self_adjoint_eig") 210. [TensorFlow数学函数：tf.self\_adjoint\_eigvals](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tgqx2jlx.html "TensorFlow数学函数：tf.self_adjoint_eigvals") 211. [TensorFlow张量变换函数：tf.sequence\_mask](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2elp2jns.html "TensorFlow张量变换函数：tf.sequence_mask") 212. [TensorFlow：tf.serialize\_many\_sparse 函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f8a12jnu.html "TensorFlow：tf.serialize_many_sparse 函数") 213. [TensorFlow：tf.serialize\_sparse函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pfeh2jpx.html "TensorFlow：tf.serialize_sparse函数") 214. [TensorFlow：tf.serialize\_tensor函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5uhd2jrm.html "TensorFlow：tf.serialize_tensor函数") 215. [TensorFlow数学函数：tf.setdiff1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w3bd2jro.html "TensorFlow数学函数：tf.setdiff1d") 216. [TensorFlow随机张量：tf.set\_random\_seed函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fqc42jvo.html "TensorFlow随机张量：tf.set_random_seed函数") 217. [TensorFlow：tf.Session函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-slp52jz8.html "TensorFlow：tf.Session函数") 218. [TensorFlow张量变换函数：tf.shape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qais2k0z.html "TensorFlow张量变换函数：tf.shape") 219. [TensorFlow：tf.shape\_n函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-smjo2k45.html "TensorFlow：tf.shape_n函数") 220. [TensorFlow神经网络：tf.sigmoid函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d46p2k47.html "TensorFlow神经网络：tf.sigmoid函数") 221. [TensorFlow数学函数：tf.sign](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i5vr2k6r.html "TensorFlow数学函数：tf.sign") 222. [TensorFlow数学函数：tf.sin函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l3qs2k6t.html "TensorFlow数学函数：tf.sin函数") 223. [TensorFlow数学函数：tf.sinh函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-km4u2k9k.html "TensorFlow数学函数：tf.sinh函数") 224. [TensorFlow张量变换：tf.size](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zowf2k9l.html "TensorFlow张量变换：tf.size") 225. [TensorFlow分割：tf.slice函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cdj92kbd.html "TensorFlow分割：tf.slice函数") 226. [TensorFlow：tf.space\_to\_batch函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wygr2kbg.html "TensorFlow：tf.space_to_batch函数") 227. [TensorFlow张量变换：tf.space\_to\_batch\_nd函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-emqk2kf4.html "TensorFlow张量变换：tf.space_to_batch_nd函数") 228. [TensorFlow：tf.space\_to\_depth函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rkfq2kf9.html "TensorFlow：tf.space_to_depth函数") 229. [TensorFlow：tf.SparseConditionalAccumulator函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yc732khq.html "TensorFlow：tf.SparseConditionalAccumulator函数") 230. [TensorFlow函数：tf.SparseFeature](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6ai52khv.html "TensorFlow函数：tf.SparseFeature") 231. [TensorFlow稀疏张量函数：tf.SparseTensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-le4w2kjm.html "TensorFlow稀疏张量函数：tf.SparseTensor") 232. [TensorFlow函数：tf.SparseTensorValue](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cix62kjs.html "TensorFlow函数：tf.SparseTensorValue") 233. [TensorFlow函数：tf.sparse\_add](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j9oc2l7p.html "TensorFlow函数：tf.sparse_add") 234. [TensorFlow函数：tf.sparse\_concat](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z5t32ld5.html "TensorFlow函数：tf.sparse_concat") 235. [TensorFlow函数：tf.sparse\_fill\_empty\_rows](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-evr22ldc.html "TensorFlow函数：tf.sparse_fill_empty_rows") 236. [TensorFlow函数：tf.sparse\_mask](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jbqn2lfh.html "TensorFlow函数：tf.sparse_mask") 237. [TensorFlow函数：tf.sparse\_matmul](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b2ca2lfi.html "TensorFlow函数：tf.sparse_matmul") 238. [TensorFlow稀疏张量：tf.sparse\_maximum函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qyhc2lhq.html "TensorFlow稀疏张量：tf.sparse_maximum函数") 239. [TensorFlow稀疏张量：tf.sparse\_merge函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8ca92lhv.html "TensorFlow稀疏张量：tf.sparse_merge函数") 240. [TensorFlow函数：tf.sparse\_minimum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9yfl2ll0.html "TensorFlow函数：tf.sparse_minimum") 241. [TensorFlow函数：tf.sparse\_placeholder](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zj1v2ll2.html "TensorFlow函数：tf.sparse_placeholder") 242. [TensorFlow函数：tf.sparse\_reduce\_max](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7kto2lnq.html "TensorFlow函数：tf.sparse_reduce_max") 243. [TensorFlow函数：tf.sparse\_reduce\_max\_sparse](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8kp22lnu.html "TensorFlow函数：tf.sparse_reduce_max_sparse") 244. [TensorFlow函数：tf.sparse\_reduce\_sum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hv612lqb.html "TensorFlow函数：tf.sparse_reduce_sum") 245. [TensorFlow函数：tf.sparse\_reduce\_sum\_sparse](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j4w72lrm.html "TensorFlow函数：tf.sparse_reduce_sum_sparse") 246. [TensorFlow函数：tf.sparse\_reorder](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1wsb2lro.html "TensorFlow函数：tf.sparse_reorder") 247. [TensorFlow函数：tf.sparse\_reset\_shape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4plj2ltw.html "TensorFlow函数：tf.sparse_reset_shape") 248. [TensorFlow函数：tf.sparse\_reshape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zoct2ltz.html "TensorFlow函数：tf.sparse_reshape") 249. [TensorFlow函数：tf.sparse\_retain](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ad3z2lx3.html "TensorFlow函数：tf.sparse_retain") 250. [TensorFlow函数：tf.sparse\_segment\_mean](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3jzp2lx4.html "TensorFlow函数：tf.sparse_segment_mean") 251. [TensorFlow函数：tf.sparse\_segment\_sqrt\_n](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pybc2lz3.html "TensorFlow函数：tf.sparse_segment_sqrt_n") 252. [TensorFlow数学函数：tf.sparse\_segment\_sum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4yfd2m0a.html "TensorFlow数学函数：tf.sparse_segment_sum") 253. [TensorFlow函数：tf.sparse\_slice](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pl2f2m0i.html "TensorFlow函数：tf.sparse_slice") 254. [TensorFlow函数：tf.sparse\_softmax](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i6mg2m62.html "TensorFlow函数：tf.sparse_softmax") 255. [TensorFlow函数：tf.sparse\_split](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ws7m2m63.html "TensorFlow函数：tf.sparse_split") 256. [TensorFlow函数：tf.sparse\_tensor\_dense\_matmul](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f4s12m7w.html "TensorFlow函数：tf.sparse_tensor_dense_matmul") 257. [TensorFlow函数：tf.sparse\_tensor\_to\_dense](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ca12m7z.html "TensorFlow函数：tf.sparse_tensor_to_dense") 258. [TensorFlow函数：tf.sparse\_to\_dense](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3axj2ma6.html "TensorFlow函数：tf.sparse_to_dense") 259. [TensorFlow函数：tf.sparse\_to\_indicator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w7hc2mab.html "TensorFlow函数：tf.sparse_to_indicator") 260. [TensorFlow函数：tf.sparse\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-or7q2mcw.html "TensorFlow函数：tf.sparse_transpose") 261. [TensorFlow函数：tf.split](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-x1yu2mcy.html "TensorFlow函数：tf.split") 262. [TensorFlow函数：tf.sqrt](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-75pb2mfi.html "TensorFlow函数：tf.sqrt") 263. [TensorFlow函数：tf.square](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p5lq2mfk.html "TensorFlow函数：tf.square") 264. [TensorFlow函数：tf.squared\_difference](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o6al2mig.html "TensorFlow函数：tf.squared_difference") 265. [TensorFlow函数：tf.squeeze](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1yed2mih.html "TensorFlow函数：tf.squeeze") 266. [TensorFlow函数：tf.stack](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-36hu2mm9.html "TensorFlow函数：tf.stack") 267. [TensorFlow函数：tf.stop\_gradient](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jego2mma.html "TensorFlow函数：tf.stop_gradient") 268. [TensorFlow函数：tf.strided\_slice](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vip72mnv.html "TensorFlow函数：tf.strided_slice") 269. [TensorFlow函数：tf.string\_join](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ukns2mo5.html "TensorFlow函数：tf.string_join") 270. [TensorFlow函数：tf.string\_split](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ys2z2mra.html "TensorFlow函数：tf.string_split") 271. 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Readable Markdown	[![TensorFlow官方文档](https://atts.w3cschool.cn/attachments/cover/cover_tensorflow_python.png?t=1666251388?imageView2/1/w/48/h/48) TensorFlow官方文档](https://www.w3cschool.cn/tensorflow_python "TensorFlow官方文档") - 赞 - 收藏 - [更多文章](https://www.w3cschool.cn/tensorflow_python/list/ "更多文章") - 目录 - 搜索 - 书签 1. [TensorFlow 入门基础]("TensorFlow 入门基础") 1. [TensorFlow 介绍](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bm7y28si.html "介绍TensorFlow") 2. [TensorFlow 下载与安装](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9rbt28sr.html "下载与安装TensorFlow") 3. [TensorFlow 基本使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fibz28ss.html "TensorFlow的基本使用") 2. [TensorFlow 使用指南]("TensorFlow 指南") 1. [assert和布尔值检查函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d64v28su.html "TensorFlow assert和布尔值检查函数") 2. [贝叶斯熵（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hs4q28sv.html "TensorFlow贝叶斯熵（contrib）") 3. [贝叶斯蒙特卡罗（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-32bu28sw.html "TensorFlow 贝叶斯蒙特卡罗（contrib）") 4. [贝叶斯随机图（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jne328sx.html "TensorFlow 贝叶斯随机图（contrib）") 5. [贝叶斯随机张量（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7khf28sy.html "TensorFlow 贝叶斯随机张量（contrib）") 6. [贝叶斯变分推断（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qyo528sz.html "TensorFlow 贝叶斯变分推断（contrib）") 7. [构建图](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-31iw28tv.html "TensorFlow 构建图") 8. [生成常量，序列和随机值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-efts28tw.html "TensorFlow生成常量，序列和随机值") 9. [控制流程](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9su628tx.html "TensorFlow 控制流程") 10. [复制图形元素（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9jqm28ty.html "TensorFlow 复制图形元素（contrib）") 11. [CRF（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7kxc28tz.html "TensorFlow CRF（contrib）") 12. [数据IO（Python函数）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rc6y28u0.html "TensorFlow 数据IO（Python函数）") 13. [使用FFmpeg（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vyw628u1.html "TensorFlow使用FFmpeg（contrib）") 14. [框架（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-719s28u7.html "TensorFlow 框架（contrib）") 15. [图形编辑器（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6jpe28u8.html "TensorFlow图形编辑器（contrib）") 16. [高阶函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-smr728ub.html "TensorFlow 高阶函数") 17. [直方图](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rujw28uc.html "TensorFlow直方图") 18. [图像操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-36ws28ue.html "TensorFlow图像操作") 19. [输入和读取器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s7pv28uf.html "TensorFlow 输入和读取器") 20. [集成（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-16zs28ug.html "TensorFlow的集成（contrib）") 21. [层（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ugo128uh.html "TensorFlow层（contrib）") 22. [高级API](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-v53828uj.html "学习TensorFlow的高级API") 23. [线性代数库（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-52z428uk.html "TensorFlow 线性代数库（contrib）") 24. [损失（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-volg28ul.html "TensorFlow损失（contrib）") 25. [数学函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u7wa28vm.html "TensorFlow 数学函数") 26. [指标（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c7p628vn.html "TensorFlow 指标（contrib）") 27. [神经网络](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kd5h28vo.html "TensorFlow 神经网络") 28. [优化（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2ohy28vp.html "TensorFlow 优化（contrib）") 29. [随机变量变换（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-onrv28vq.html "TensorFlow 随机变量变换（contrib）") 30. [RNN和单元（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l8ba28vr.html "TensorFlow RNN和单元（contrib）") 31. [运行图](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lfi528vs.html "TensorFlow 运行图") 32. [Seq2seq库（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i8jh28vt.html "TensorFlow Seq2seq库（contrib）") 33. [稀疏张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pflh28vu.html "TensorFlow 稀疏张量") 34. [光谱函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aij928yl.html "TensorFlow 光谱函数") 35. [统计分布（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hilj28ym.html "TensorFlow 统计分布（contrib）") 36. [字符串操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-duwl28yn.html "TensorFlow 字符串操作") 37. [摘要操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3jkf28yp.html "TensorFlow 摘要操作") 38. [张量处理操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gnwm2c68.html "TensorFlow 张量处理操作") 39. [张量变换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-85v22c69.html "TensorFlow 张量变换") 40. [调试器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-91qg2c6a.html "TensorFlow调试器") 41. [测试](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9nqv2c6b.html "TensorFlow 测试") 42. [Training函数（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-31ld2c6d.html "TensorFlow Training函数（contrib）") 43. [Training函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-y6p82c6e.html "TensorFlow Training函数") 44. [实用程序（contrib）](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wguk2c6f.html "TensorFlow 实用程序（contrib）") 45. [变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rv8u2c6g.html "TensorFlow 变量") 46. [包装python函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2u1x2c6h.html "TensorFlow 包装python函数") 47. [将数据导入TensorFlow](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-urli2dhu.html "将数据导入TensorFlow") 3. [TensorFlow 函数介绍](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s17p28vv.html "TensorFlow 函数介绍") 1. [TensorFlow 函数模块：tf]("TensorFlow 函数模块：tf") 1. [TensorFlow app模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-58lx2coj.html "TensorFlow app模块") 2. [TensorFlow bitwise模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qiut2d8o.html "bitwise模块") 1. [TensorFlow 元素按位与运算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-xpga2d8p.html "TensorFlow元素按位与运算") 2. [TensorFlow bitwise\_or运算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6r8y2d8q.html "bitwise_or运算") 3. [TensorFlow 元素按位异或](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qle82d8u.html "TensorFlow元素按位异或") 4. [TensorFlow 翻转所有位元素](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cfxe2d8v.html "翻转TensorFlow所有位元素") 5. [TensorFlow按位左移函数：tf.bitwise.left\_shift](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wefa2ov7.html "TensorFlow按位左移函数：tf.bitwise.left_shift") 6. [TensorFlow按位右移函数：tf.bitwise.right\_shift](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zu172ova.html "TensorFlow按位右移函数：tf.bitwise.right_shift") 3. [TensorFlow compat模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-32xo2col.html "TensorFlow compat模块") 1. [TensorFlow 字节和Unicode转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-m8el2com.html "TensorFlow 字节和Unicode转换") 2. [TensorFlow str的转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fcbk2con.html "TensorFlow str的转换") 3. [TensorFlow 返回给定参数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-oaet2coo.html "TensorFlow 返回给定参数") 4. [TensorFlow函数：tf.compat.path\_to\_str](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ijhd2oya.html "TensorFlow函数：tf.compat.path_to_str") 4. [TensorFlow contrib模块]("TensorFlow contrib模块") 1. [TensorFlow 估计ELBO和KL散度中出现的比值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6t8228wb.html "TensorFlow 估计ELBO和KL散度中出现的比值") 2. [TensorFlow 计算Monte Carlo或Shannon熵的确定性](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c6ez28xm.html "TensorFlow 计算Monte Carlo或Shannon熵的确定性") 3. [TensorFlow Renyi方法的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jz2w28xn.html "TensorFlow Renyi方法的使用") 4. [TensorFlow 计算Renyi分歧](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nxd828xp.html "TensorFlow 计算Renyi分歧") 5. [TensorFlow Monte Carlo期望值计算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ki5j28xq.html "TensorFlow Monte Carlo期望值计算") 6. [TensorFlow Monte Carlo重要性抽样估计](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ncw28yi.html "TensorFlow Monte Carlo重要性抽样估计") 7. [TensorFlow 对数空间的重要性抽样估计](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l69t28yj.html "TensorFlow 对数空间的重要性抽样估计") 8. [TensorFlow 随机图的代理损失](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3szt2c8q.html "TensorFlow 随机图的代理损失") 9. [TensorFlow 发出随机值的张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gjl12c8u.html "TensorFlow 发出随机值的张量") 10. [TensorFlow 获取随机张量值类型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p4t22c8x.html "TensorFlow 获取随机张量值类型") 11. [TensorFlow 随机张量值类型的MeanValue类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1i7f2c8z.html "TensorFlow 随机张量值类型的MeanValue类") 12. [TensorFlow 具有观察值的 StochasticTensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ti6y2cb9.html "TensorFlow 具有观察值的 StochasticTensor") 13. [TensorFlow绘制样本](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qbe92cbc.html "TensorFlow绘制样本") 14. [TensorFlow StochasticTensor详细介绍](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1hf42cbg.html "TensorFlow StochasticTensor详细介绍") 15. [TensorFlow创建值类型上下文](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bvh12cbi.html "TensorFlow创建值类型上下文") 16. [TensorFlow 变分推理操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7f3u2cbl.html "TensorFlow 变分推理操作") 17. [在TensorFlow中创建一个BigQueryReader](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9hat2cby.html "在TensorFlow中创建一个BigQueryReader") 18. [TensorFlow中copy的使用方法](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2giy2cci.html "TensorFlow中copy的使用方法") 19. [TensorFlow中与CRF有关的操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ivh2cct.html "TensorFlow中与CRF有关的操作") 20. [TensorFlow使用Cudnn实现模型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3rto2cg1.html "TensorFlow使用Cudnn实现模型") 21. [TensorFlow处理RNN参数变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-23ue2cgp.html "TensorFlow处理RNN参数变量") 22. [TensorFlow的数据集](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pqdr2cqn.html "TensorFlow的数据集") 23. [TensorFlow创建固定长度记录的Dataset](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1bi62crg.html "TensorFlow创建固定长度记录的Dataset") 24. [TensorFlow 使用Iterator类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yw2d2da8.html "使用Iterator类") 25. [TensorFlow读取批处理](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nari2da9.html "TensorFlow读取批处理") 26. [TensorFlow对数据集重新取样](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6qba2dbp.html "TensorFlow对数据集重新取样") 27. [TensorFlow文本文件行的数据集](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8pwb2dbr.html "TensorFlow文本文件行的数据集") 28. [包含TFRecord文件记录的数据集](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2rpy2dko.html "包含TFRecord文件记录的数据集") 5. [TensorFlow的errors模块]("TensorFlow的errors模块") 1. [TensorFlow的errors模块总览](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7rsk2ctr.html "TensorFlow的errors模块总览") 2. [TensorFlow操作被中止](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b9o12ctt.html "TensorFlow操作被中止") 3. [TensorFlow处理已存在的error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-345n2czg.html "TensorFlow处理已存在的error") 4. [TensorFlow取消操作或步骤时引发的error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lyao2d13.html "TensorFlow取消操作或步骤时引发的error") 5. [DataLossError类的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jkzn2d16.html "DataLossError类的使用") 6. [处理DeadlineExceededError](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d9tr2d17.html "处理DeadlineExceededError") 7. [处理FailedPreconditionError](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wn6p2d19.html "处理FailedPreconditionError") 8. [InternalError的处理](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rp6e2d1a.html "InternalError的处理") 9. [TensorFlow的InvalidArgumentError类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uikg2d1b.html "TensorFlow的InvalidArgumentError类") 10. [NotFoundError如何引发](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-t62e2d50.html "NotFoundError如何引发") 11. [TensorFlow操作迭代超过有效的输入范围](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9buk2d51.html "TensorFlow操作迭代超过有效的输入范围") 12. [TensorFlow调用方没有运行操作权限怎么办](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gpte2d52.html "TensorFlow调用方没有运行操作权限怎么办") 13. [TensorFlow资源用尽引发的异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vbq62dc4.html "TensorFlow资源用尽引发的异常") 14. [TensorFlow无效身份验证引发的异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7u492dph.html "TensorFlow无效身份验证引发的异常") 15. [当前不可用的runtime异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wlqf2dpl.html "当前不可用的runtime异常") 16. [TensorFlow 操作未实现引发的异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3bme2dsc.html "操作未实现会引发TensorFlow异常吗") 17. [UnknownError异常](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gwvy2dsi.html "UnknownError异常") 6. [estimator模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-xp3r2dl5.html "estimator模块") 1. [TensorFlow如何生成解析规范](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zwy42doy.html "TensorFlow如何生成解析规范") 2. [TensorFlow如何使用DNN模型分类器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9qls2dp4.html "如何使用DNN模型分类器") 3. [TensorFlow DNNLinear组合分类器的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4gn82dty.html "DNNLinear组合分类器的使用") 4. [TensorFlow DNN回归模型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9s7b2e08.html "DNN回归模型") 5. [TensorFlow DNN模型的回归器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-61mk2e0b.html "DNN模型的回归器") 6. [TensorFlow的estimator类函数：tf.estimator.Estimator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hd9a2oyb.html "TensorFlow的estimator类函数：tf.estimator.Estimator") 7. [TensorFlow函数：tf.estimator.EstimatorSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q5hc2ozv.html "TensorFlow函数：tf.estimator.EstimatorSpec") 8. [TensorFlow函数：tf.estimator.EvalSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2z8n2p0s.html "TensorFlow函数：tf.estimator.EvalSpec") 9. [TensorFlow函数：tf.estimator.Exporter](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uqwb2p44.html "TensorFlow函数：tf.estimator.Exporter") 10. [TensorFlow函数：tf.estimator.FinalExporter](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h5xt2p6i.html "TensorFlow函数：tf.estimator.FinalExporter") 11. [TensorFlow函数：tf.estimator.LatestExporter](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-doct2p6k.html "TensorFlow函数：tf.estimator.LatestExporter") 12. [TensorFlow函数：tf.estimator.ModeKeys](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8gjs2p9i.html "TensorFlow函数：tf.estimator.ModeKeys") 13. [TensorFlow函数：tf.estimator.regressor\_parse\_example\_spec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-itjb2p9l.html "TensorFlow函数：tf.estimator.regressor_parse_example_spec") 14. [TensorFlow函数：tf.estimator.RunConfig](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kc342pc7.html "TensorFlow函数：tf.estimator.RunConfig") 15. [TensorFlow函数：tf.estimator.TrainSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s7gp2pdn.html "TensorFlow函数：tf.estimator.TrainSpec") 16. [TensorFlow函数：tf.estimator.VocabInfo](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f6je2pe2.html "TensorFlow函数：tf.estimator.VocabInfo") 17. [TensorFlow函数：tf.estimator.WarmStartSettings](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2agr2pfl.html "TensorFlow函数：tf.estimator.WarmStartSettings") 7. [TensorFlow怎么使用gfile模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3d5z2ebb.html "TensorFlow怎么使用gfile模块") 1. [将TensorFlow文件数据复制到新路径](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5u2e2ebe.html "将TensorFlow文件数据复制到新路径") 2. [文件I/O包装器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qevz2ed7.html "文件I/O包装器") 3. [TensorFlow如何使用GFile类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ys1p2emt.html "TensorFlow如何使用GFile类") 4. [TensorFlow返回模式匹配文件列表](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b3iw2emv.html "TensorFlow返回模式匹配文件列表") 5. [TensorFlow函数：tf.gfile.IsDirectory](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-za3e2pi5.html "TensorFlow函数：tf.gfile.IsDirectory") 6. [TensorFlow函数：tf.gfile.ListDirectory](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3pqc2pl9.html "TensorFlow函数：tf.gfile.ListDirectory") 7. [TensorFlow函数：tf.gfile.MakeDirs](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-scx62plb.html "TensorFlow函数：tf.gfile.MakeDirs") 8. [TensorFlow函数：tf.gfile.MkDir](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8aj72plc.html "TensorFlow函数：tf.gfile.MkDir") 9. [TensorFlow函数：tf.gfile.Remove](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zbfg2pp0.html "TensorFlow函数：tf.gfile.Remove") 10. [TensorFlow函数：tf.gfile.Rename](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-chf62pp5.html "TensorFlow函数：tf.gfile.Rename") 11. [TensorFlow函数：tf.gfile.Stat](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fxgv2prh.html "TensorFlow函数：tf.gfile.Stat") 12. [TensorFlow函数：tf.gfile.Walk](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2qb42pri.html "TensorFlow函数：tf.gfile.Walk") 8. [TensorFlow的graph\_util模块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-45zy2ekn.html "TensorFlow的graph_util模块") 1. [TensorFlow如何用常量替换变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n9ix2ekq.html "TensorFlow如何用常量替换变量") 2. [如何操作TensorFlow张量图的节点](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tw1o2eku.html "如何操作TensorFlow张量图的节点") 3. [TensorFlow函数：tf.graph\_util.must\_run\_on\_cpu](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-t2ip2ptc.html "TensorFlow函数：tf.graph_util.must_run_on_cpu") 4. [TensorFlow函数：tf.graph\_util.remove\_training\_nodes](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jb2v2ptf.html "TensorFlow函数：tf.graph_util.remove_training_nodes") 5. [TensorFlow函数：tf.graph\_util.tensor\_shape\_from\_node\_def\_name](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3kwe2pvc.html "TensorFlow函数：tf.graph_util.tensor_shape_from_node_def_name") 9. [TensorFlow的image模块]("TensorFlow的image模块") 1. [TensorFlow模块：tf.image](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zkgb2pve.html "TensorFlow模块：tf.image") 2. [TensorFlow函数：tf.image.adjust\_brightness](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-doin2py9.html "TensorFlow函数：tf.image.adjust_brightness") 3. [TensorFlow函数：tf.image.adjust\_contrast](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ug9z2pyg.html "TensorFlow函数：tf.image.adjust_contrast") 4. [TensorFlow函数：tf.image.adjust\_gamma](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ych22pzm.html "TensorFlow函数：tf.image.adjust_gamma") 5. [TensorFlow函数：tf.image.adjust\_hue](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zy382q20.html "TensorFlow函数：tf.image.adjust_hue") 6. [TensorFlow函数：tf.image.adjust\_saturation](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2auk2q28.html "TensorFlow函数：tf.image.adjust_saturation") 7. [TensorFlow函数：tf.image.central\_crop](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-43xt2q3t.html "TensorFlow函数：tf.image.central_crop") 8. [TensorFlow函数：tf.image.convert\_image\_dtype](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4m592q3z.html "TensorFlow函数：tf.image.convert_image_dtype") 9. [TensorFlow函数：tf.image.crop\_and\_resize](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bwr22q6g.html "TensorFlow函数：tf.image.crop_and_resize") 10. [TensorFlow函数：tf.image.crop\_to\_bounding\_box](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lq9p2q6k.html "TensorFlow函数：tf.image.crop_to_bounding_box") 11. [TensorFlow函数：tf.image.decode\_and\_crop\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-e4on2q86.html "TensorFlow函数：tf.image.decode_and_crop_jpeg") 12. [TensorFlow函数：tf.image.decode\_bmp](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cqvt2q87.html "TensorFlow函数：tf.image.decode_bmp") 13. [TensorFlow函数：tf.image.decode\_gif](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qeul2qa4.html "TensorFlow函数：tf.image.decode_gif") 14. [TensorFlow函数：tf.image.decode\_image](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ug6x2qa6.html "TensorFlow函数：tf.image.decode_image") 15. [TensorFlow函数：tf.image.decode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jkyc2qdv.html "TensorFlow函数：tf.image.decode_jpeg") 16. [TensorFlow函数：tf.image.decode\_png](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o3id2qdw.html "TensorFlow函数：tf.image.decode_png") 17. [TensorFlow函数：tf.image.draw\_bounding\_boxes](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hvpu2qfz.html "TensorFlow函数：tf.image.draw_bounding_boxes") 18. [TensorFlow函数：tf.image.encode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2d8l2qg4.html "TensorFlow函数：tf.image.encode_jpeg") 19. [TensorFlow函数：tf.image.encode\_png](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8dv62qil.html "TensorFlow函数：tf.image.encode_png") 20. [TensorFlow函数：tf.image.extract\_glimpse](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d6n72qim.html "TensorFlow函数：tf.image.extract_glimpse") 21. [TensorFlow函数：tf.image.extract\_jpeg\_shape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lke82qln.html "TensorFlow函数：tf.image.extract_jpeg_shape") 22. [TensorFlow函数：tf.image.flip\_left\_right](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-auzm2qlq.html "TensorFlow函数：tf.image.flip_left_right") 23. [TensorFlow函数：tf.image.flip\_up\_down](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i7l52qnw.html "TensorFlow函数：tf.image.flip_up_down") 24. [TensorFlow函数：tf.image.grayscale\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-781j2qnx.html "TensorFlow函数：tf.image.grayscale_to_rgb") 25. [TensorFlow函数：tf.image.hsv\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nkxe2qqk.html "TensorFlow函数：tf.image.hsv_to_rgb") 26. [TensorFlow函数：tf.image.image\_gradients](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4q2f2qqn.html "TensorFlow函数：tf.image.image_gradients") 27. [TensorFlow函数：tf.image.is\_jpeg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mzty2qqo.html "TensorFlow函数：tf.image.is_jpeg") 28. [TensorFlow函数：tf.image.non\_max\_suppression](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9qjv2qva.html "TensorFlow函数：tf.image.non_max_suppression") 29. [TensorFlow函数：tf.image.pad\_to\_bounding\_box](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-afov2qvc.html "TensorFlow函数：tf.image.pad_to_bounding_box") 30. [TensorFlow函数：tf.image.per\_image\_standardization](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vbyx2qyr.html "TensorFlow函数：tf.image.per_image_standardization") 31. [TensorFlow函数：tf.image.psnr](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j26v2qyu.html "TensorFlow函数：tf.image.psnr") 32. [TensorFlow函数：tf.image.random\_brightness](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j4yp2r11.html "TensorFlow函数：tf.image.random_brightness") 33. [TensorFlow函数：tf.image.random\_contrast](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-famw2r12.html "TensorFlow函数：tf.image.random_contrast") 34. [TensorFlow函数：tf.image.random\_flip\_left\_right](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-r6kb2r34.html "TensorFlow函数：tf.image.random_flip_left_right") 35. [TensorFlow函数：tf.image.random\_flip\_up\_down](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-867h2r35.html "TensorFlow函数：tf.image.random_flip_up_down") 36. [TensorFlow函数：tf.image.random\_hue](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j7n62r6t.html "TensorFlow函数：tf.image.random_hue") 37. [TensorFlow函数：tf.image.random\_saturation](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zg3y2r6w.html "TensorFlow函数：tf.image.random_saturation") 38. [TensorFlow函数：tf.image.ResizeMethod](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6poe2r9f.html "TensorFlow函数：tf.image.ResizeMethod") 39. [TensorFlow函数：tf.image.resize\_area](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yh7f2r9i.html "TensorFlow函数：tf.image.resize_area") 40. [TensorFlow函数：tf.image.resize\_bicubic](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7jlr2rbr.html "TensorFlow函数：tf.image.resize_bicubic") 41. [TensorFlow函数：tf.image.resize\_bilinear](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nk642rbu.html "TensorFlow函数：tf.image.resize_bilinear") 42. [TensorFlow函数：tf.image.resize\_images](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5ymn2rer.html "TensorFlow函数：tf.image.resize_images") 43. [TensorFlow函数：tf.image.resize\_image\_with\_crop\_or\_pad](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dh432reu.html "TensorFlow函数：tf.image.resize_image_with_crop_or_pad") 44. [TensorFlow函数：tf.image.resize\_nearest\_neighbor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u5bi2rgy.html "TensorFlow函数：tf.image.resize_nearest_neighbor") 45. [TensorFlow函数：tf.image.rgb\_to\_grayscale](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zbj52rgz.html "TensorFlow函数：tf.image.rgb_to_grayscale") 46. [TensorFlow函数：tf.image.rgb\_to\_hsv](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j8iz2rk5.html "TensorFlow函数：tf.image.rgb_to_hsv") 47. [TensorFlow函数：tf.image.rgb\_to\_yiq](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6tzf2rk6.html "TensorFlow函数：tf.image.rgb_to_yiq") 48. [TensorFlow函数：tf.image.rgb\_to\_yuv](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-evcn2rm9.html "TensorFlow函数：tf.image.rgb_to_yuv") 49. [TensorFlow函数：tf.image.rot90](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ukgr2rmg.html "TensorFlow函数：tf.image.rot90") 50. [TensorFlow函数：tf.image.sample\_distorted\_bounding\_box](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vmxq2rpm.html "TensorFlow函数：tf.image.sample_distorted_bounding_box") 51. [TensorFlow函数：tf.image.sobel\_edges](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-szpy2rq1.html "TensorFlow函数：tf.image.sobel_edges") 52. [TensorFlow函数：tf.image.ssim](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c5xz2rsh.html "TensorFlow函数：tf.image.ssim") 53. [TensorFlow函数：tf.image.ssim\_multiscale](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hr7w2rsi.html "TensorFlow函数：tf.image.ssim_multiscale") 54. [TensorFlow函数：tf.image.total\_variation](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b5232ru7.html "TensorFlow函数：tf.image.total_variation") 55. [TensorFlow函数：tf.image.transpose\_image](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5f7x2rua.html "TensorFlow函数：tf.image.transpose_image") 56. [TensorFlow函数：tf.image.yiq\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4r5c2rzy.html "TensorFlow函数：tf.image.yiq_to_rgb") 57. [TensorFlow函数：tf.image.yuv\_to\_rgb](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s2v72s08.html "TensorFlow函数：tf.image.yuv_to_rgb") 10. [TensorFlow使用之tf.initializers]("TensorFlow使用之tf.initializers") 1. [TensorFlow模块：tf.initializers](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1n242s3h.html "TensorFlow模块：tf.initializers") 2. [TensorFlow函数：tf.initializers.identity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d6sg2s3k.html "TensorFlow函数：tf.initializers.identity") 11. [TensorFlow使用之tf.io]("TensorFlow使用之tf.io") 1. [tf.io概览](https://www.w3cschool.cn/tensorflow_python/tf_io.html "tf.io概览") 2. [decode\_and\_crop\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_and_crop_jpeg.html "TensorFlow函数教程：tf.io.decode_and_crop_jpeg") 3. [decode\_base64](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_base64.html "TensorFlow函数教程：tf.io.decode_base64") 4. [decode\_bmp](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_bmp.html "TensorFlow函数教程：tf.io.decode_bmp") 5. [decode\_compressed](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_compressed.html "TensorFlow函数教程：tf.io.decode_compressed") 6. [decode\_csv](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_csv.html "TensorFlow函数教程：tf.io.decode_csv") 7. [decode\_gif](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_gif.html "TensorFlow函数教程：tf.io.decode_gif") 8. [decode\_image](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_image.html "TensorFlow函数教程：tf.io.decode_image") 9. [decode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_jpeg.html "TensorFlow函数教程：tf.io.decode_jpeg") 10. [decode\_json\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_json_example.html "TensorFlow函数教程：tf.io.decode_json_example") 11. [decode\_png](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_png.html "TensorFlow函数教程：tf.io.decode_png") 12. [decode\_raw](https://www.w3cschool.cn/tensorflow_python/tf_io_decode_raw.html "TensorFlow函数教程：tf.io.decode_raw") 13. [deserialize\_many\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_io_deserialize_many_sparse.html "TensorFlow函数教程：tf.io.deserialize_many_sparse") 14. [encode\_base64](https://www.w3cschool.cn/tensorflow_python/tf_io_encode_base64.html "TensorFlow函数教程：tf.io.encode_base64") 15. [encode\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_encode_jpeg.html "TensorFlow函数教程：tf.io.encode_jpeg") 16. [extract\_jpeg\_shape](https://www.w3cschool.cn/tensorflow_python/tf_io_extract_jpeg_shape.html "TensorFlow函数教程：tf.io.extract_jpeg_shape") 17. [FixedLenFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_FixedLenFeature.html "TensorFlow函数教程：tf.io.FixedLenFeature") 18. [FixedLenSequenceFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_FixedLenSequenceFeature.html "TensorFlow函数教程：tf.io.FixedLenSequenceFeature") 19. [is\_jpeg](https://www.w3cschool.cn/tensorflow_python/tf_io_is_jpeg.html "TensorFlow函数教程：tf.io.is_jpeg") 20. [matching\_files](https://www.w3cschool.cn/tensorflow_python/tf_io_matching_files.html "TensorFlow函数教程：tf.io.matching_files") 21. [match\_filenames\_once](https://www.w3cschool.cn/tensorflow_python/tf_io_match_filenames_once.html "TensorFlow函数教程：tf.io.match_filenames_once") 22. [PaddingFIFOQueue](https://www.w3cschool.cn/tensorflow_python/tf_io_PaddingFIFOQueue.html "TensorFlow函数教程：tf.io.PaddingFIFOQueue") 23. [parse\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_example.html "TensorFlow函数教程：tf.io.parse_example") 24. [parse\_sequence\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_sequence_example.html "TensorFlow函数教程：tf.io.parse_sequence_example") 25. [parse\_single\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_single_example.html "TensorFlow函数教程：tf.io.parse_single_example") 26. [parse\_single\_sequence\_example](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_single_sequence_example.html "TensorFlow函数教程：tf.io.parse_single_sequence_example") 27. [parse\_tensor](https://www.w3cschool.cn/tensorflow_python/tf_io_parse_tensor.html "TensorFlow函数教程：tf.io.parse_tensor") 28. [read\_file](https://www.w3cschool.cn/tensorflow_python/tf_io_read_file.html "TensorFlow函数教程：tf.io.read_file") 29. [serialize\_many\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_io_serialize_many_sparse.html "TensorFlow函数教程：tf.io.serialize_many_sparse") 30. [serialize\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_io_serialize_sparse.html "TensorFlow函数教程：tf.io.serialize_sparse") 31. [serialize\_tensor](https://www.w3cschool.cn/tensorflow_python/tf_io_serialize_tensor.html "TensorFlow函数教程：tf.io.serialize_tensor") 32. [SparseFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_SparseFeature.html "TensorFlow函数教程：tf.io.SparseFeature") 33. [TFRecordCompressionType](https://www.w3cschool.cn/tensorflow_python/tf_io_TFRecordCompressionType.html "TensorFlow函数教程：tf.io.TFRecordCompressionType") 34. [TFRecordOptions](https://www.w3cschool.cn/tensorflow_python/tf_io_TFRecordOptions.html "TensorFlow函数教程：tf.io.TFRecordOptions") 35. [TFRecordWriter](https://www.w3cschool.cn/tensorflow_python/tf_io_TFRecordWriter.html "TensorFlow函数教程：tf.io.TFRecordWriter") 36. [tf\_record\_iterator](https://www.w3cschool.cn/tensorflow_python/tf_io_tf_record_iterator.html "TensorFlow函数教程：tf.io.tf_record_iterator") 37. [VarLenFeature](https://www.w3cschool.cn/tensorflow_python/tf_io_VarLenFeature.html "TensorFlow函数教程：tf.io.VarLenFeature") 38. [write\_file](https://www.w3cschool.cn/tensorflow_python/tf_io_write_file.html "TensorFlow函数教程：tf.io.write_file") 39. [write\_graph](https://www.w3cschool.cn/tensorflow_python/tf_io_write_graph.html "TensorFlow函数教程：tf.io.write_graph") 40. [gfile](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile.html "TensorFlow函数教程：tf.io.gfile") 1. [copy](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_copy.html "TensorFlow函数教程：tf.io.gfile.copy") 2. [exists](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_exists.html "TensorFlow函数教程：tf.io.gfile.exists") 3. [GFile](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_GFile.html "TensorFlow函数教程：tf.io.gfile.GFile") 4. [glob](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_glob.html "TensorFlow函数教程：tf.io.gfile.glob") 5. [isdir](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_isdir.html "TensorFlow函数教程：tf.io.gfile.isdir") 6. [listdir](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_listdir.html "TensorFlow函数教程：tf.io.gfile.listdir") 7. [makedirs](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_makedirs.html "TensorFlow函数教程：tf.io.gfile.makedirs") 8. [mkdir](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_mkdir.html "TensorFlow函数教程：tf.io.gfile.mkdir") 9. [remove](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_remove.html "TensorFlow函数教程：tf.io.gfile.remove") 10. [rename](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_rename.html "TensorFlow函数教程：tf.io.gfile.rename") 11. [rmtree](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_rmtree.html "TensorFlow函数教程：tf.io.gfile.rmtree") 12. [stat](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_stat.html "TensorFlow函数教程：tf.io.gfile.stat") 13. [walk](https://www.w3cschool.cn/tensorflow_python/tf_io_gfile_walk.html "TensorFlow函数教程：tf.io.gfile.walk") 12. [TensorFlow使用之tf.keras]("TensorFlow使用之tf.keras") 1. [TensorFlow模块：tf.keras](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5dym2s6j.html "TensorFlow模块：tf.keras") 2. [Input](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-63xs2s6r.html "TensorFlow函数：tf.keras.Input") 3. [activations](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations.html "TensorFlow函数教程：tf.keras.activations") 1. [deserialize](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_deserialize.html "TensorFlow函数教程：tf.keras.activations.deserialize") 2. [elu](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_elu.html "TensorFlow函数教程：tf.keras.activations.elu") 3. [exponential](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_exponential.html "TensorFlow函数教程：tf.keras.activations.exponential") 4. [get](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_get.html "TensorFlow函数教程：tf.keras.activations.get") 5. [hard\_sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_hard_sigmoid.html "TensorFlow函数教程：tf.keras.activations.hard_sigmoid") 6. [linear](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_linear.html "TensorFlow函数教程：tf.keras.activations.linear") 7. [relu](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_relu.html "TensorFlow函数教程：tf.keras.activations.relu") 8. [selu](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_selu.html "TensorFlow函数教程：tf.keras.activations.selu") 9. [serialize](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_serialize.html "TensorFlow函数教程：tf.keras.activations.serialize") 10. [sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_sigmoid.html "TensorFlow函数教程：tf.keras.activations.sigmoid") 11. [softmax](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_softmax.html "TensorFlow函数教程：tf.keras.activations.softmax") 12. [softplus](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_softplus.html "TensorFlow函数教程：tf.keras.activations.softplus") 13. [softsign](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_softsign.html "TensorFlow函数教程：tf.keras.activations.softsign") 14. [tanh](https://www.w3cschool.cn/tensorflow_python/tf_keras_activations_tanh.html "TensorFlow函数教程：tf.keras.activations.tanh") 4. [applications](https://www.w3cschool.cn/tensorflow_python/tf_keras_applications.html "TensorFlow函数教程：tf.keras.applications") 5. [backend](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend.html "TensorFlow函数教程：tf.keras.backend") 1. [abs](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_abs.html "TensorFlow函数教程：tf.keras.backend.abs") 2. [all](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_all.html "TensorFlow函数教程：tf.keras.backend.all") 3. [any](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_any.html "TensorFlow函数教程：tf.keras.backend.any") 4. [arange](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_arange.html "TensorFlow函数教程：tf.keras.backend.arange") 5. [argmax](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_argmax.html "TensorFlow函数教程：tf.keras.backend.argmax") 6. [argmin](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_argmin.html "TensorFlow函数教程：tf.keras.backend.argmin") 7. [backend](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_backend.html "TensorFlow函数教程：tf.keras.backend.backend") 8. [batch\_dot](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_dot.html "TensorFlow函数教程：tf.keras.backend.batch_dot") 9. [batch\_flatten](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_flatten.html "TensorFlow函数教程：tf.keras.backend.batch_flatten") 10. [batch\_get\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_get_value.html "TensorFlow函数教程：tf.keras.backend.batch_get_value") 11. [batch\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_normalization.html "TensorFlow函数教程：tf.keras.backend.batch_normalization") 12. [batch\_set\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_batch_set_value.html "TensorFlow函数教程：tf.keras.backend.batch_set_value") 13. [bias\_add](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_bias_add.html "TensorFlow函数教程：tf.keras.backend.bias_add") 14. [binary\_crossentropy](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_binary_crossentropy.html "TensorFlow函数教程：tf.keras.backend.binary_crossentropy") 15. [cast](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_cast.html "TensorFlow函数教程：tf.keras.backend.cast") 16. [cast\_to\_floatx](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_cast_to_floatx.html "TensorFlow函数教程：tf.keras.backend.cast_to_floatx") 17. [categorical\_crossentropy](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_categorical_crossentropy.html "TensorFlow函数教程：tf.keras.backend.categorical_crossentropy") 18. [clear\_session](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_clear_session.html "TensorFlow函数教程：tf.keras.backend.clear_session") 19. [clip](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_clip.html "TensorFlow函数教程：tf.keras.backend.clip") 20. [concatenate](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_concatenate.html "TensorFlow函数教程：tf.keras.backend.concatenate") 21. [constant](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_constant.html "TensorFlow函数教程：tf.keras.backend.constant") 22. [conv1d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv1d.html "TensorFlow函数教程：tf.keras.backend.conv1d") 23. [conv2d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv2d.html "TensorFlow函数教程：tf.keras.backend.conv2d") 24. [conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv2d_transpose.html "TensorFlow函数教程：tf.keras.backend.conv2d_transpose") 25. [conv3d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_conv3d.html "TensorFlow函数教程：tf.keras.backend.conv3d") 26. [cos](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_cos.html "TensorFlow函数教程：tf.keras.backend.cos") 27. [count\_params](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_count_params.html "TensorFlow函数教程：tf.keras.backend.count_params") 28. [ctc\_batch\_cost](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ctc_batch_cost.html "TensorFlow函数教程：tf.keras.backend.ctc_batch_cost") 29. [ctc\_decode](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ctc_decode.html "TensorFlow函数教程：tf.keras.backend.ctc_decode") 30. [ctc\_label\_dense\_to\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ctc_label_dense_to_sparse.html "TensorFlow函数教程：tf.keras.backend.ctc_label_dense_to_sparse") 31. [dot](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_dot.html "TensorFlow函数教程：tf.keras.backend.dot") 32. [dropout](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_dropout.html "TensorFlow函数教程：tf.keras.backend.dropout") 33. [dtype](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_dtype.html "TensorFlow函数教程：tf.keras.backend.dtype") 34. [elu](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_elu.html "TensorFlow函数教程：tf.keras.backend.elu") 35. [epsilon](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_epsilon.html "TensorFlow函数教程：tf.keras.backend.epsilon") 36. [equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_equal.html "TensorFlow函数教程：tf.keras.backend.equal") 37. [eval](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_eval.html "TensorFlow函数教程：tf.keras.backend.eval") 38. [exp](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_exp.html "TensorFlow函数教程：tf.keras.backend.exp") 39. [expand\_dims](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_expand_dims.html "TensorFlow函数教程：tf.keras.backend.expand_dims") 40. [eye](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_eye.html "TensorFlow函数教程：tf.keras.backend.eye") 41. [flatten](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_flatten.html "TensorFlow函数教程：tf.keras.backend.flatten") 42. [floatx](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_floatx.html "TensorFlow函数教程：tf.keras.backend.floatx") 43. [foldl](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_foldl.html "TensorFlow函数教程：tf.keras.backend.foldl") 44. [foldr](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_foldr.html "TensorFlow函数教程：tf.keras.backend.foldr") 45. [function](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_function.html "TensorFlow函数教程：tf.keras.backend.function") 46. [gather](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_gather.html "TensorFlow函数教程：tf.keras.backend.gather") 47. [get\_session](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_get_session.html "TensorFlow函数教程：tf.keras.backend.get_session") 48. [get\_uid](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_get_uid.html "TensorFlow函数教程：tf.keras.backend.get_uid") 49. [get\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_get_value.html "TensorFlow函数教程：tf.keras.backend.get_value") 50. [gradients](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_gradients.html "TensorFlow函数教程：tf.keras.backend.gradients") 51. [greater](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_greater.html "TensorFlow函数教程：tf.keras.backend.greater") 52. [greater\_equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_greater_equal.html "TensorFlow函数教程：tf.keras.backend.greater_equal") 53. [hard\_sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_hard_sigmoid.html "TensorFlow函数教程：tf.keras.backend.hard_sigmoid") 54. [image\_data\_format](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_image_data_format.html "TensorFlow函数教程：tf.keras.backend.image_data_format") 55. [int\_shape](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_int_shape.html "TensorFlow函数教程：tf.keras.backend.int_shape") 56. [in\_test\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_in_test_phase.html "TensorFlow函数教程：tf.keras.backend.in_test_phase") 57. [in\_top\_k](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_in_top_k.html "TensorFlow函数教程：tf.keras.backend.in_top_k") 58. [in\_train\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_in_train_phase.html "TensorFlow函数教程：tf.keras.backend.in_train_phase") 59. [is\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_is_sparse.html "TensorFlow函数教程：tf.keras.backend.is_sparse") 60. [l2\_normalize](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_l2_normalize.html "TensorFlow函数教程：tf.keras.backend.l2_normalize") 61. [learning\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_learning_phase.html "TensorFlow函数教程：tf.keras.backend.learning_phase") 62. [less](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_less.html "TensorFlow函数教程：tf.keras.backend.less") 63. [less\_equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_less_equal.html "TensorFlow函数教程：tf.keras.backend.less_equal") 64. [log](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_log.html "TensorFlow函数教程：tf.keras.backend.log") 65. [manual\_variable\_initialization](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_manual_variable_initialization.html "TensorFlow函数教程：tf.keras.backend.manual_variable_initialization") 66. [map\_fn](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_map_fn.html "TensorFlow函数教程：tf.keras.backend.map_fn") 67. [max](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_max.html "TensorFlow函数教程：tf.keras.backend.max") 68. [maximum](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_maximum.html "TensorFlow函数教程：tf.keras.backend.maximum") 69. [mean](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_mean.html "TensorFlow函数教程：tf.keras.backend.meantf.keras.backend.mean") 70. [min](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_min.html "TensorFlow函数教程：tf.keras.backend.min") 71. [minimum](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_minimum.html "TensorFlow函数教程：tf.keras.backend.minimum") 72. [moving\_average\_update](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_moving_average_update.html "TensorFlow函数教程：tf.keras.backend.moving_average_update") 73. [ndim](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ndim.html "TensorFlow函数教程：tf.keras.backend.ndim") 74. [normalize\_batch\_in\_training](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_normalize_batch_in_training.html "TensorFlow函数教程：tf.keras.backend.normalize_batch_in_training") 75. [not\_equal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_not_equal.html "TensorFlow函数教程：tf.keras.backend.not_equal") 76. [ones](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ones.html "TensorFlow函数教程：tf.keras.backend.ones") 77. [ones\_like](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_ones_like.html "TensorFlow函数教程：tf.keras.backend.ones_like") 78. [one\_hot](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_one_hot.html "TensorFlow函数教程：tf.keras.backend.one_hot") 79. [permute\_dimensions](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_permute_dimensions.html "TensorFlow函数教程：tf.keras.backend.permute_dimensions") 80. [placeholder](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_placeholder.html "TensorFlow函数教程：tf.keras.backend.placeholder") 81. [pool2d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_pool2d.html "TensorFlow函数教程：tf.keras.backend.pool2d") 82. [pool3d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_pool3d.html "TensorFlow函数教程：tf.keras.backend.pool3d") 83. [pow](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_pow.html "TensorFlow函数教程：tf.keras.backend.pow") 84. [print\_tensor](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_print_tensor.html "TensorFlow函数教程：tf.keras.backend.print_tensor") 85. [prod](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_prod.html "TensorFlow函数教程：tf.keras.backend.prod") 86. [random\_binomial](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_binomial.html "TensorFlow函数教程：tf.keras.backend.random_binomial") 87. [random\_normal](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_normal.html "TensorFlow函数教程：tf.keras.backend.random_normal") 88. [random\_normal\_variable](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hwy730lx.html "TensorFlow函数教程：tf.keras.backend.random_normal_variable") 89. [random\_uniform](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_uniform.html "TensorFlow函数教程：tf.keras.backend.random_uniform") 90. [random\_uniform\_variable](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_random_uniform_variable.html "TensorFlow函数教程：tf.keras.backend.random_uniform_variable") 91. [relu](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_relu.html "TensorFlow函数教程：tf.keras.backend.relu") 92. [repeat](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_repeat.html "TensorFlow函数教程：tf.keras.backend.repeat") 93. [repeat\_elements](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_repeat_elements.html "TensorFlow函数教程：tf.keras.backend.repeat_elements") 94. [reset\_uids](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_reset_uids.html "TensorFlow函数教程：tf.keras.backend.reset_uids") 95. [reshape](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_reshape.html "TensorFlow函数教程：tf.keras.backend.reshape") 96. [resize\_images](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_resize_images.html "TensorFlow函数教程：tf.keras.backend.resize_images") 97. [resize\_volumes](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_resize_volumes.html "TensorFlow函数教程：tf.keras.backend.resize_volumes") 98. [reverse](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_reverse.html "TensorFlow函数教程：tf.keras.backend.reverse") 99. [rnn](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_rnn.html "TensorFlow函数教程：tf.keras.backend.rnn") 100. [round](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_round.html "TensorFlow函数教程：tf.keras.backend.round") 101. [separable\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_separable_conv2d.html "TensorFlow函数教程：tf.keras.backend.separable_conv2d") 102. [set\_epsilon](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_epsilon.html "TensorFlow函数教程：tf.keras.backend.set_epsilon") 103. [set\_floatx](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_floatx.html "TensorFlow函数教程：tf.keras.backend.set_floatx") 104. [set\_image\_data\_format](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_image_data_format.html "TensorFlow函数教程：tf.keras.backend.set_image_data_format") 105. [set\_learning\_phase](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_learning_phase.html "TensorFlow函数教程：tf.keras.backend.set_learning_phase") 106. [set\_session](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_session.html "TensorFlow函数教程：tf.keras.backend.set_session") 107. [set\_value](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_set_value.html "TensorFlow函数教程：tf.keras.backend.set_value") 108. [shape](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_shape.html "TensorFlow函数教程：tf.keras.backend.shape") 109. [sigmoid](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sigmoid.html "TensorFlow函数教程：tf.keras.backend.sigmoid") 110. [sign](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sign.html "TensorFlow函数教程：tf.keras.backend.sign") 111. [sin](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rvm2319m.html "TensorFlow函数教程：tf.keras.backend.sin") 112. [softmax](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aitj319n.html "TensorFlow函数教程：tf.keras.backend.softmax") 113. [softplus](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_softplus.html "TensorFlow函数教程：tf.keras.backend.softplus") 114. [softsign](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_softsign.html "TensorFlow函数教程：tf.keras.backend.softsign") 115. [sparse\_categorical\_crossentropy](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sparse_categorical_crossentropy.html "TensorFlow函数教程：tf.keras.backend.sparse_categorical_crossentropy") 116. [spatial\_2d\_padding](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_spatial_2d_padding.html "TensorFlow函数教程：tf.keras.backend.spatial_2d_padding") 117. [spatial\_3d\_padding](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_spatial_3d_padding.html "TensorFlow函数教程：tf.keras.backend.spatial_3d_padding") 118. [sqrt](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_sqrt.html "TensorFlow函数教程：tf.keras.backend.sqrt") 119. [square](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_square.html "TensorFlow函数教程：tf.keras.backend.square") 120. [squeeze](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_squeeze.html "TensorFlow函数教程：tf.keras.backend.squeeze") 121. [stack](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_stack.html "TensorFlow函数教程：tf.keras.backend.stack") 122. [std](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_std.html "TensorFlow函数教程：tf.keras.backend.std") 123. [stop\_gradient](https://www.w3cschool.cn/tensorflow_python/tf_keras_backend_stop_gradient.html "TensorFlow函数教程：tf.keras.backend.stop_gradient") 6. [callbacks](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks.html "TensorFlow回调函数：tf.keras.callbacks") 1. [BaseLogger](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_BaseLogger.html "TensorFlow回调函数：tf.keras.callbacks.BaseLogger") 2. [Callback](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_Callback.html "TensorFlow回调函数：tf.keras.callbacks.Callback") 3. [CSVLogger](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_CSVLogger.html "TensorFlow回调函数：tf.keras.callbacks.CSVLogger") 4. [EarlyStopping](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_EarlyStopping.html "TensorFlow函数教程：tf.keras.callbacks.EarlyStopping") 5. [History](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5l7y30rc.html "TensorFlow回调函数：tf.keras.callbacks.History") 6. [LambdaCallback](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_LambdaCallback.html "TensorFlow回调函数：tf.keras.callbacks.LambdaCallback") 7. [LearningRateScheduler](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_LearningRateScheduler.html "TensorFlow回调函数：tf.keras.callbacks.LearningRateScheduler") 8. [ModelCheckpoint](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_ModelCheckpoint.html "TensorFlow回调函数：tf.keras.callbacks.ModelCheckpoint") 9. [ProgbarLogger](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_ProgbarLogger.html "TensorFlow回调函数：tf.keras.callbacks.ProgbarLogger") 10. [ReduceLROnPlateau](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_ReduceLROnPlateau.html "TensorFlow回调函数：tf.keras.callbacks.ReduceLROnPlateau") 11. [RemoteMonitor](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_RemoteMonitor.html "TensorFlow回调函数：tf.keras.callbacks.RemoteMonitor") 12. [TensorBoard](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_TensorBoard.html "TensorFlow回调函数：tf.keras.callbacks.TensorBoard") 13. [TerminateOnNaN](https://www.w3cschool.cn/tensorflow_python/tf_keras_callbacks_TerminateOnNaN.html "TensorFlow回调函数：tf.keras.callbacks.TerminateOnNaN") 13. [TensorFlow使用之tf.layers]("TensorFlow使用之tf.layers") 1. [TensorFlow模块：tf.layers](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-59ay2s9i.html "TensorFlow模块：tf.layers") 2. [TensorFlow函数：tf.layers.AveragePooling1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-urdf2sbx.html "TensorFlow函数：tf.layers.AveragePooling1D") 3. [TensorFlow函数：tf.layers.AveragePooling2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gylv2sh9.html "TensorFlow函数：tf.layers.AveragePooling2D") 4. [TensorFlow函数：tf.layers.AveragePooling3D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ctf72spr.html "TensorFlow函数：tf.layers.AveragePooling3D") 5. [TensorFlow函数：tf.layers.average\_pooling1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9vac2sn1.html "TensorFlow函数：tf.layers.average_pooling1d") 6. [TensorFlow函数：tf.layers.average\_pooling2d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n5g92sn2.html "TensorFlow函数：tf.layers.average_pooling2d") 7. [TensorFlow函数：tf.layers.average\_pooling3d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6ftn2ssw.html "TensorFlow函数：tf.layers.average_pooling3d") 8. [TensorFlow函数：tf.layers.batch\_normalization](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-13p92sws.html "TensorFlow函数：tf.layers.batch_normalization") 9. [TensorFlow函数：tf.layers.Conv1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-283f2t0b.html "TensorFlow函数：tf.layers.Conv1D") 10. [TensorFlow函数：tf.layers.Conv2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p6qw2t3y.html "TensorFlow函数：tf.layers.Conv2D") 11. [TensorFlow函数：tf.layers.Conv2DTranspose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wfg62t8h.html "TensorFlow函数：tf.layers.Conv2DTranspose") 12. [TensorFlow函数：tf.layers.conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z2xe2sk5.html "TensorFlow函数：tf.layers.conv2d_transpose") 13. [TensorFlow函数：tf.layers.Conv3D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nmqk2tgg.html "TensorFlow函数：tf.layers.Conv3D") 14. [TensorFlow函数：tf.layers.conv3d\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hzky2swu.html "TensorFlow函数：tf.layers.conv3d_transpose") 15. [TensorFlow函数：tf.layers.InputSpec](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yq9h2tcv.html "TensorFlow函数：tf.layers.InputSpec") 16. [TensorFlow函数：tf.layers.Conv3DTranspose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g9yf2tlo.html "TensorFlow函数：tf.layers.Conv3DTranspose") 17. [TensorFlow函数：tf.layers.Dense](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rn6a2tps.html "TensorFlow函数：tf.layers.Dense") 18. [TensorFlow函数：tf.layers.Dropout](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7pne2tsr.html "TensorFlow函数：tf.layers.Dropout") 19. [TensorFlow函数：tf.layers.Flatten](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dw3m2twu.html "TensorFlow函数：tf.layers.Flatten") 20. [TensorFlow函数：tf.layers.Layer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hlym2u18.html "TensorFlow函数：tf.layers.Layer") 21. [TensorFlow函数：tf.layers.MaxPooling1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nwol2uyr.html "TensorFlow函数：tf.layers.MaxPooling1D") 22. [TensorFlow函数：tf.layers.MaxPooling2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ycgz2v16.html "TensorFlow函数：tf.layers.MaxPooling2D") 23. [TensorFlow函数：tf.layers.MaxPooling3D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ef6g2v4j.html "TensorFlow函数：tf.layers.MaxPooling3D") 24. [TensorFlow函数：tf.layers.max\_pooling1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-skct2u4z.html "TensorFlow函数：tf.layers.max_pooling1d") 25. [TensorFlow函数：tf.layers.max\_pooling2d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j4ni2u54.html "TensorFlow函数：tf.layers.max_pooling2d") 26. [TensorFlow函数：tf.layers.max\_pooling3d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6hbw2u9w.html "TensorFlow函数：tf.layers.max_pooling3d") 27. [TensorFlow函数：tf.layers.SeparableConv1D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hpby2uee.html "TensorFlow函数：tf.layers.SeparableConv1D") 28. [TensorFlow函数：tf.layers.SeparableConv2D](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tsoq2uia.html "TensorFlow函数：tf.layers.SeparableConv2D") 29. [TensorFlow函数：tf.layers.separable\_conv1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4fdm2umu.html "TensorFlow函数：tf.layers.separable_conv1d") 30. [TensorFlow函数：tf.layers.separable\_conv2d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5d1u2ur5.html "TensorFlow函数：tf.layers.separable_conv2d") 31. [TensorFlow函数：tf.layers.BatchNormalization](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s9w62v9e.html "TensorFlow函数：tf.layers.BatchNormalization") 14. [TensorFlow使用之Python/tf.linalg]("TensorFlow使用之Python/tf.linalg") 1. [TensorFlow模块：tf.linalg](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pcx62vdu.html "TensorFlow模块：tf.linalg") 2. [TensorFlow函数：tf.linalg.adjoint](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ej832ve7.html "TensorFlow函数：tf.linalg.adjoint") 3. [TensorFlow函数：tf.linalg.expm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-oh8z2vh5.html "TensorFlow函数：tf.linalg.expm") 4. [TensorFlow函数：tf.linalg.logdet](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ljeo2vkt.html "TensorFlow函数：tf.linalg.logdet") 5. [TensorFlow函数：tf.linalg.logm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-649l2vnj.html "TensorFlow函数：tf.linalg.logm") 6. [TensorFlow函数：tf.linalg.slogdet](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9tch2vnk.html "TensorFlow函数：tf.linalg.slogdet") 7. [TensorFlow函数：tf.linalg.LinearOperator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cfyd2vro.html "TensorFlow函数：tf.linalg.LinearOperator") 15. [TensorFlow使用之tf.logging]("TensorFlow使用之tf.logging") 1. [TensorFlow模块：tf.logging](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2s9x2w1v.html "TensorFlow模块：tf.logging") 2. [TensorFlow函数：tf.logging.debug](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-18li2w8a.html "TensorFlow函数：tf.logging.debug") 3. [TensorFlow函数：tf.logging.error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-su1d2w8b.html "TensorFlow函数：tf.logging.error") 4. [TensorFlow函数：tf.logging.fatal](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-djo72w8c.html "TensorFlow函数：tf.logging.fatal") 5. [TensorFlow函数：tf.logging.flush](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4fvn2wbw.html "TensorFlow函数：tf.logging.flush") 6. [TensorFlow函数：tf.logging.get\_verbosity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h8xe2wby.html "TensorFlow函数：tf.logging.get_verbosity") 7. [TensorFlow函数：tf.logging.info](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5fdi2wbz.html "TensorFlow函数：tf.logging.info") 8. [TensorFlow函数：tf.logging.log](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-csdb2wc0.html "TensorFlow函数：tf.logging.log") 9. [TensorFlow函数：tf.logging.log\_every\_n](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ve5f2wc2.html "TensorFlow函数：tf.logging.log_every_n") 10. [TensorFlow函数：tf.logging.log\_first\_n](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sk182wf5.html "TensorFlow函数：tf.logging.log_first_n") 11. [TensorFlow函数：tf.logging.log\_if](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4tym2wf7.html "TensorFlow函数：tf.logging.log_if") 12. [TensorFlow函数：tf.logging.set\_verbosity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nfws2wiq.html "TensorFlow函数：tf.logging.set_verbosity") 13. [TensorFlow函数：tf.logging.TaskLevelStatusMessage](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lwdp2wir.html "TensorFlow函数：tf.logging.TaskLevelStatusMessage") 14. [TensorFlow函数：tf.logging.vlog](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6vkl2wis.html "TensorFlow函数：tf.logging.vlog") 15. [TensorFlow函数：tf.logging.warn](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n1wc2wit.html "TensorFlow函数：tf.logging.warn") 16. [TensorFlow函数：tf.logging.warning](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-217a2wiu.html "TensorFlow函数：tf.logging.warning") 16. [TensorFlow使用之tf.losses]("TensorFlow使用之tf.losses") 1. [TensorFlow模块：tf.losses](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2pms2wkq.html "TensorFlow模块：tf.losses") 2. [TensorFlow函数：tf.losses.absolute\_difference](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q5rw2wkt.html "TensorFlow函数：tf.losses.absolute_difference") 3. [TensorFlow函数：tf.losses.add\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-emay2wmr.html "TensorFlow函数：tf.losses.add_loss") 4. [TensorFlow函数：tf.losses.compute\_weighted\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rbjl2wms.html "TensorFlow函数：tf.losses.compute_weighted_loss") 5. [TensorFlow函数：tf.losses.cosine\_distance](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wuh22wqk.html "TensorFlow函数：tf.losses.cosine_distance") 6. [TensorFlow函数：tf.losses.get\_losses](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lvgw2wqn.html "TensorFlow函数：tf.losses.get_losses") 7. [TensorFlow函数：tf.losses.get\_regularization\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lqif2wtw.html "TensorFlow函数：tf.losses.get_regularization_loss") 8. [TensorFlow函数：tf.losses.get\_regularization\_losses](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-knft2wtx.html "TensorFlow函数：tf.losses.get_regularization_losses") 9. [TensorFlow函数：tf.losses.get\_total\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cz5s2wwd.html "TensorFlow函数：tf.losses.get_total_loss") 10. [TensorFlow函数：tf.losses.hinge\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tnbj2wyg.html "TensorFlow函数：tf.losses.hinge_loss") 11. [TensorFlow函数：tf.losses.huber\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2cbn2wyj.html "TensorFlow函数：tf.losses.huber_loss") 12. [TensorFlow函数：tf.losses.log\_loss](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-14tm2x16.html "TensorFlow函数：tf.losses.log_loss") 13. [TensorFlow函数：tf.losses.mean\_pairwise\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f9u82x7n.html "TensorFlow函数：tf.losses.mean_pairwise_squared_error") 14. [TensorFlow函数：tf.losses.mean\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zkxr2x87.html "TensorFlow函数：tf.losses.mean_squared_error") 15. [TensorFlow函数：tf.losses.Reduction](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-klgu2xrk.html "TensorFlow函数：tf.losses.Reduction") 16. [TensorFlow函数：tf.losses.sigmoid\_cross\_entropy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hdfb2xtv.html "TensorFlow函数：tf.losses.sigmoid_cross_entropy") 17. [TensorFlow函数：tf.losses.softmax\_cross\_entropy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hrga2y89.html "TensorFlow函数：tf.losses.softmax_cross_entropy") 18. [TensorFlow函数：tf.losses.sparse\_softmax\_cross\_entropy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uh2n2y8b.html "TensorFlow函数：tf.losses.sparse_softmax_cross_entropy") 17. [TensorFlow使用之tf.math]("TensorFlow使用之tf.math") 1. [TensorFlow模块：tf.math](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aced2ycp.html "TensorFlow模块：tf.math") 2. [TensorFlow函数：tf.math.polyval](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7kh12yd1.html "TensorFlow函数：tf.math.polyval") 18. [TensorFlow使用之tf.metrics]("TensorFlow使用之tf.metrics") 1. [TensorFlow模块：tf.metrics](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ke8y2yhg.html "TensorFlow模块：tf.metrics") 2. [TensorFlow函数：tf.metrics.accuracy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7tus2yhp.html "TensorFlow函数：tf.metrics.accuracy") 3. [TensorFlow函数：tf.metrics.auc](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mct22yk9.html "TensorFlow函数：tf.metrics.auc") 4. [TensorFlow函数：tf.metrics.average\_precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lajz2yop.html "TensorFlow函数：tf.metrics.average_precision_at_k") 5. [TensorFlow函数：tf.metrics.false\_negatives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5xz62yrm.html "TensorFlow函数：tf.metrics.false_negatives") 6. [TensorFlow函数：tf.metrics.false\_negatives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-68ez2yun.html "TensorFlow函数：tf.metrics.false_negatives_at_thresholds") 7. [TensorFlow函数：tf.metrics.false\_positives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wi562yxa.html "TensorFlow函数：tf.metrics.false_positives") 8. [TensorFlow函数：tf.metrics.false\_positives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o2d92z0l.html "TensorFlow函数：tf.metrics.false_positives_at_thresholds") 9. [TensorFlow函数：tf.metrics.mean](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rwlo2z1r.html "TensorFlow函数：tf.metrics.mean") 10. [TensorFlow函数：tf.metrics.mean\_absolute\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-iftl2z24.html "TensorFlow函数：tf.metrics.mean_absolute_error") 11. [TensorFlow函数：tf.metrics.mean\_cosine\_distance](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1mu62z2a.html "TensorFlow函数：tf.metrics.mean_cosine_distance") 12. [TensorFlow函数：tf.metrics.mean\_iou](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ujb12z2k.html "TensorFlow函数：tf.metrics.mean_iou") 13. [TensorFlow函数：tf.metrics.mean\_per\_class\_accuracy](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4dfk2z2p.html "TensorFlow函数：tf.metrics.mean_per_class_accuracy") 14. [TensorFlow函数：tf.metrics.mean\_relative\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6zke2z31.html "TensorFlow函数：tf.metrics.mean_relative_error") 15. [TensorFlow函数：tf.metrics.mean\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9sfy2z32.html "TensorFlow函数：tf.metrics.mean_squared_error") 16. [TensorFlow函数：tf.metrics.mean\_tensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-t5zg2z33.html "TensorFlow函数：tf.metrics.mean_tensor") 17. [TensorFlow函数：tf.metrics.percentage\_below](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q6cj2z3y.html "TensorFlow函数：tf.metrics.percentage_below") 18. [TensorFlow函数：tf.metrics.precision](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pmdi2z4d.html "TensorFlow函数：tf.metrics.precision") 19. [TensorFlow函数：tf.metrics.precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fk9n2z4r.html "TensorFlow函数：tf.metrics.precision_at_k") 20. [TensorFlow函数：tf.metrics.precision\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4x6s2z4s.html "TensorFlow函数：tf.metrics.precision_at_thresholds") 21. [TensorFlow函数：tf.metrics.precision\_at\_top\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ovlp2z71.html "TensorFlow函数：tf.metrics.precision_at_top_k") 22. [TensorFlow函数：tf.metrics.recall](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7nev2z7u.html "TensorFlow函数：tf.metrics.recall") 23. [TensorFlow函数：tf.metrics.recall\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-k8fa2z7v.html "TensorFlow函数：tf.metrics.recall_at_k") 24. [TensorFlow函数：tf.metrics.recall\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kn9h2z85.html "TensorFlow函数：tf.metrics.recall_at_thresholds") 25. [TensorFlow函数：tf.metrics.recall\_at\_top\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-a8ur2z86.html "TensorFlow函数：tf.metrics.recall_at_top_k") 26. [TensorFlow函数：tf.metrics.root\_mean\_squared\_error](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-15ev2z8o.html "TensorFlow函数：tf.metrics.root_mean_squared_error") 27. [TensorFlow函数：tf.metrics.sensitivity\_at\_specificity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5t192z96.html "TensorFlow函数：tf.metrics.sensitivity_at_specificity") 28. [TensorFlow函数：tf.metrics.sparse\_average\_precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nu6d2z9f.html "TensorFlow函数：tf.metrics.sparse_average_precision_at_k") 29. [TensorFlow函数：tf.metrics.sparse\_precision\_at\_k](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-r79f2z9h.html "TensorFlow函数：tf.metrics.sparse_precision_at_k") 30. [TensorFlow函数：tf.metrics.specificity\_at\_sensitivity](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h3v12zap.html "TensorFlow函数：tf.metrics.specificity_at_sensitivity") 31. [TensorFlow函数：tf.metrics.true\_negatives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p93f2zb0.html "TensorFlow函数：tf.metrics.true_negatives") 32. [TensorFlow函数：tf.metrics.true\_negatives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-of6n2zdn.html "TensorFlow函数：tf.metrics.true_negatives_at_thresholds") 33. [TensorFlow函数：tf.metrics.true\_positives](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-547k2zdo.html "TensorFlow函数：tf.metrics.true_positives") 34. [TensorFlow函数：tf.metrics.true\_positives\_at\_thresholds](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jefs2zfa.html "TensorFlow函数：tf.metrics.true_positives_at_thresholds") 19. [TensorFlow使用之tf.manip]("TensorFlow使用之tf.manip") 1. [TensorFlow模块：tf.manip](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ow42yal.html "TensorFlow模块：tf.manip") 2. [TensorFlow函数：tf.manip.roll](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2k8u2yam.html "TensorFlow函数：tf.manip.roll") 20. [TensorFlow使用之tf.nn]("TensorFlow使用之tf.nn") 1. [tf.nn概览](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fjqh2zgc.html "TensorFlow模块：tf.nn") 2. [all\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1wu62zh8.html "TensorFlow函数：tf.nn.all_candidate_sampler") 3. [atrous\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_atrous_conv2d.html "TensorFlow函数：tf.nn.atrous_conv2d") 4. [atrous\_conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_nn_atrous_conv2d_transpose.html "TensorFlow函数：tf.nn.atrous_conv2d_transpose") 5. [avg\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_avg_pool.html "TensorFlow函数：tf.nn.avg_pool") 6. [avg\_pool3d](https://www.w3cschool.cn/tensorflow_python/tf_nn_avg_pool3d.html "TensorFlow函数：tf.nn.avg_pool3d") 7. [batch\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_nn_batch_normalization.html "TensorFlow函数：tf.nn.batch_normalization") 8. [batch\_norm\_with\_global\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_nn_batch_norm_with_global_normalization.html "TensorFlow函数：tf.nn.batch_norm_with_global_normalization") 9. [bias\_add](https://www.w3cschool.cn/tensorflow_python/tf_nn_bias_add.html "TensorFlow函数：tf.nn.bias_add") 10. [bidirectional\_dynamic\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_bidirectional_dynamic_rnn.html "TensorFlow函数：tf.nn.bidirectional_dynamic_rnn") 11. [compute\_accidental\_hits](https://www.w3cschool.cn/tensorflow_python/tf_nn_compute_accidental_hits.html "TensorFlow函数：tf.nn.compute_accidental_hits") 12. [conv1d](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv1d.html "TensorFlow函数：tf.nn.conv1d") 13. [conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d.html "TensorFlow函数：tf.nn.conv2d") 14. [conv2d\_backprop\_filter](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d_backprop_filter.html "TensorFlow函数：tf.nn.conv2d_backprop_filter") 15. [conv2d\_backprop\_input](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d_backprop_input.html "TensorFlow函数：tf.nn.conv2d_backprop_input") 16. [conv2d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv2d_transpose.html "TensorFlow函数：tf.nn.conv2d_transpose") 17. [conv3d](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv3d.html "TensorFlow函数教程：tf.nn.conv3d") 18. [conv3d\_backprop\_filter\_v2](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv3d_backprop_filter_v2.html "TensorFlow函数教程：tf.nn.conv3d_backprop_filter_v2") 19. [conv3d\_transpose](https://www.w3cschool.cn/tensorflow_python/tf_nn_conv3d_transpose.html "TensorFlow函数教程：tf.nn.conv3d_transpose") 20. [convolution](https://www.w3cschool.cn/tensorflow_python/tf_nn_convolution.html "TensorFlow函数教程：tf.nn.convolution") 21. [crelu](https://www.w3cschool.cn/tensorflow_python/tf_nn_crelu.html "TensorFlow函数教程：tf.nn.crelu") 22. [ctc\_beam\_search\_decoder](https://www.w3cschool.cn/tensorflow_python/tf_nn_ctc_beam_search_decoder.html "TensorFlow函数教程：tf.nn.ctc_beam_search_decoder") 23. [ctc\_greedy\_decoder](https://www.w3cschool.cn/tensorflow_python/tf_nn_ctc_greedy_decoder.html "TensorFlow函数教程：tf.nn.ctc_greedy_decoder") 24. [ctc\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_ctc_loss.html "TensorFlow函数教程：tf.nn.ctc_loss") 25. [depthwise\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d.html "TensorFlow函数教程：tf.nn.depthwise_conv2d") 26. [depthwise\_conv2d\_native](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d_native.html "TensorFlow函数教程：tf.nn.depthwise_conv2d_native") 27. [depthwise\_conv2d\_native\_backprop\_filter](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d_native_backprop_filter.html "TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_filter") 28. [depthwise\_conv2d\_native\_backprop\_input](https://www.w3cschool.cn/tensorflow_python/tf_nn_depthwise_conv2d_native_backprop_input.html "TensorFlow函数教程：tf.nn.depthwise_conv2d_native_backprop_input") 29. [dilation2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_dilation2d.html "TensorFlow函数教程：tf.nn.dilation2d") 30. [dropout](https://www.w3cschool.cn/tensorflow_python/tf_nn_dropout.html "TensorFlow函数教程：tf.nn.dropout") 31. [dynamic\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_dynamic_rnn.html "TensorFlow函数教程：tf.nn.dynamic_rnn") 32. [elu](https://www.w3cschool.cn/tensorflow_python/tf_nn_elu.html "TensorFlow函数教程：tf.nn.elu") 33. [embedding\_lookup](https://www.w3cschool.cn/tensorflow_python/tf_nn_embedding_lookup.html "TensorFlow函数教程：tf.nn.embedding_lookup") 34. [embedding\_lookup\_sparse](https://www.w3cschool.cn/tensorflow_python/tf_nn_embedding_lookup_sparse.html "TensorFlow函数教程：tf.nn.embedding_lookup_sparse") 35. [erosion2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_erosion2d.html "TensorFlow函数教程：tf.nn.erosion2d") 36. [fixed\_unigram\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tf_nn_fixed_unigram_candidate_sampler.html "TensorFlow函数教程：tf.nn.fixed_unigram_candidate_sampler") 37. [fractional\_avg\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_fractional_avg_pool.html "TensorFlow函数教程：tf.nn.fractional_avg_pool") 38. [fractional\_max\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_fractional_max_pool.html "TensorFlow函数教程： tf.nn.fractional_max_pool") 39. [fused\_batch\_norm](https://www.w3cschool.cn/tensorflow_python/tf_nn_fused_batch_norm.html "TensorFlow函数教程：tf.nn.fused_batch_norm") 40. [in\_top\_k](https://www.w3cschool.cn/tensorflow_python/tf_nn_in_top_k.html "TensorFlow函数教程：tf.nn.in_top_k") 41. [l2\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_l2_loss.html "TensorFlow函数教程：tf.nn.l2_loss") 42. [l2\_normalize](https://www.w3cschool.cn/tensorflow_python/tf_nn_l2_normalize.html "TensorFlow函数教程：tf.nn.l2_normalize") 43. [leaky\_relu](https://www.w3cschool.cn/tensorflow_python/tf_nn_leaky_relu.html "TensorFlow函数教程：tf.nn.leaky_relu") 44. [learned\_unigram\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tf_nn_learned_unigram_candidate_sampler.html "TensorFlow函数教程：tf.nn.learned_unigram_candidate_sampler") 45. [local\_response\_normalization](https://www.w3cschool.cn/tensorflow_python/tf_nn_local_response_normalization.html "TensorFlow函数教程：tf.nn.local_response_normalization") 46. [log\_poisson\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_log_poisson_loss.html "TensorFlow函数教程：tf.nn.log_poisson_loss") 47. [log\_softmax](https://www.w3cschool.cn/tensorflow_python/tf_nn_log_softmax.html "TensorFlow函数教程：tf.nn.log_softmax") 48. [log\_uniform\_candidate\_sampler](https://www.w3cschool.cn/tensorflow_python/tf_nn_log_uniform_candidate_sampler.html "TensorFlow函数教程：tf.nn.log_uniform_candidate_sampler") 49. [max\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_max_pool.html "TensorFlow函数教程：tf.nn.max_pool") 50. [max\_pool3d](https://www.w3cschool.cn/tensorflow_python/tf_nn_max_pool3d.html "TensorFlow函数教程：tf.nn.max_pool3d") 51. [max\_pool\_with\_argmax](https://www.w3cschool.cn/tensorflow_python/tf_nn_max_pool_with_argmax.html "TensorFlow函数教程：tf.nn.max_pool_with_argmax") 52. [moments](https://www.w3cschool.cn/tensorflow_python/tf_nn_moments.html "TensorFlow函数教程：tf.nn.moments") 53. [nce\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_nce_loss.html "TensorFlow函数教程：tf.nn.nce_loss") 54. [normalize\_moments](https://www.w3cschool.cn/tensorflow_python/tf_nn_normalize_moments.html "TensorFlow函数教程：tf.nn.normalize_moments") 55. [pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_pool.html "TensorFlow函数教程：tf.nn.pool") 56. [quantized\_avg\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_avg_pool.html "TensorFlow函数教程：tf.nn.quantized_avg_pool") 57. [quantized\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_conv2d.html "TensorFlow函数教程：tf.nn.quantized_conv2d") 58. [quantized\_max\_pool](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_max_pool.html "TensorFlow函数教程：tf.nn.quantized_max_pool") 59. [quantized\_relu\_x](https://www.w3cschool.cn/tensorflow_python/tf_nn_quantized_relu_x.html "TensorFlow函数教程：tf.nn.quantized_relu_x") 60. [relu](https://www.w3cschool.cn/tensorflow_python/tf_nn_relu.html "TensorFlow函数教程：tf.nn.relu") 61. [relu6](https://www.w3cschool.cn/tensorflow_python/tf_nn_relu6.html "TensorFlow函数教程：tf.nn.relu6") 62. [relu\_layer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l7i3300n.html "TensorFlow函数教程：tf.nn.relu_layer") 63. [selu](https://www.w3cschool.cn/tensorflow_python/tf_nn_selu.html "TensorFlow函数教程：tf.nn.selu") 64. [separable\_conv2d](https://www.w3cschool.cn/tensorflow_python/tf_nn_separable_conv2d.html "TensorFlow函数教程：tf.nn.separable_conv2d") 65. [sigmoid\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_sigmoid_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.sigmoid_cross_entropy_with_logits") 66. [softmax](https://www.w3cschool.cn/tensorflow_python/tf_nn_softmax.html "TensorFlow函数教程：tf.nn.softmax") 67. [softmax\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_softmax_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits") 68. [softmax\_cross\_entropy\_with\_logits\_v2](https://www.w3cschool.cn/tensorflow_python/tf_nn_softmax_cross_entropy_with_logits_v2.html "TensorFlow函数教程：tf.nn.softmax_cross_entropy_with_logits_v2") 69. [softsign](https://www.w3cschool.cn/tensorflow_python/tf_nn_softsign.html "TensorFlow函数教程：tf.nn.softsign") 70. [space\_to\_batch](https://www.w3cschool.cn/tensorflow_python/tf_nn_space_to_batch.html "TensorFlow函数教程：tf.nn.space_to_batch") 71. [space\_to\_depth](https://www.w3cschool.cn/tensorflow_python/tf_nn_space_to_depth.html "TensorFlow函数教程：tf.nn.space_to_depth") 72. [sparse\_softmax\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_sparse_softmax_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.sparse_softmax_cross_entropy_with_logits") 73. [static\_bidirectional\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_static_bidirectional_rnn.html "TensorFlow函数教程：tf.nn.static_bidirectional_rnn") 74. [static\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_static_rnn.html "TensorFlow函数教程：tf.nn.static_rnn") 75. [static\_state\_saving\_rnn](https://www.w3cschool.cn/tensorflow_python/tf_nn_static_state_saving_rnn.html "TensorFlow函数教程：tf.nn.static_state_saving_rnn") 76. [sufficient\_statistics](https://www.w3cschool.cn/tensorflow_python/tf_nn_sufficient_statistics.html "TensorFlow函数教程：tf.nn.sufficient_statistics") 77. [weighted\_cross\_entropy\_with\_logits](https://www.w3cschool.cn/tensorflow_python/tf_nn_weighted_cross_entropy_with_logits.html "TensorFlow函数教程：tf.nn.weighted_cross_entropy_with_logits") 78. [weighted\_moments](https://www.w3cschool.cn/tensorflow_python/tf_nn_weighted_moments.html "TensorFlow函数教程：tf.nn.weighted_moments") 79. [with\_space\_to\_batch](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-di2j3038.html "TensorFlow函数教程：tf.nn.with_space_to_batch") 80. [xw\_plus\_b](https://www.w3cschool.cn/tensorflow_python/tf_nn_xw_plus_b.html "TensorFlow函数教程：tf.nn.xw_plus_b") 21. [TensorFlow使用之tf.profiler]("TensorFlow使用之tf.profiler") 1. [tf.profiler概览](https://www.w3cschool.cn/tensorflow_python/tf_profiler.html "tf.profiler概览") 2. [AdviceProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_AdviceProto.html "TensorFlow函数教程：tf.profiler.AdviceProto") 3. [AdviceProto.Checker](https://www.w3cschool.cn/tensorflow_python/tf_profiler_AdviceProto_Checker.html "TensorFlow函数教程：tf.profiler.AdviceProto.Checker") 4. [AdviceProto.CheckersEntry](https://www.w3cschool.cn/tensorflow_python/tf_profiler_AdviceProto_CheckersEntry.html "TensorFlow函数教程：tf.profiler.AdviceProto.CheckersEntry") 5. [advise](https://www.w3cschool.cn/tensorflow_python/tf_profiler_advise.html "TensorFlow函数教程：tf.profiler.advise") 6. [GraphNodeProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_GraphNodeProto.html "TensorFlow函数教程：tf.profiler.GraphNodeProto") 7. [GraphNodeProto.InputShapesEntry](https://www.w3cschool.cn/tensorflow_python/tf_profiler_GraphNodeProto_InputShapesEntry.html "TensorFlow函数教程：tf.profiler.GraphNodeProto.InputShapesEntry") 8. [MultiGraphNodeProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_MultiGraphNodeProto.html "TensorFlow函数教程：tf.profiler.MultiGraphNodeProto") 9. [OpLogProto](https://www.w3cschool.cn/tensorflow_python/tf_profiler_OpLogProto.html "TensorFlow函数教程：tf.profiler.OpLogProto") 10. [OpLogProto.IdToStringEntry](https://www.w3cschool.cn/tensorflow_python/tf_profiler_OpLogProto_IdToStringEntry.html "TensorFlow函数教程：tf.profiler.OpLogProto.IdToStringEntry") 11. [profile](https://www.w3cschool.cn/tensorflow_python/tf_profiler_profile.html "TensorFlow函数教程：tf.profiler.profile") 12. [ProfileOptionBuilder](https://www.w3cschool.cn/tensorflow_python/tf_profiler_ProfileOptionBuilder.html "TensorFlow函数教程：tf.profiler.ProfileOptionBuilder") 13. [Profiler](https://www.w3cschool.cn/tensorflow_python/tf_profiler_Profiler.html "TensorFlow函数教程：tf.profiler.Profiler") 14. [write\_op\_log](https://www.w3cschool.cn/tensorflow_python/tf_profiler_write_op_log.html "TensorFlow函数教程：tf.profiler.write_op_log") 22. [TensorFlow使用之tf.python\_io]("TensorFlow使用之tf.python_io") 1. [tf.python\_io概览](https://www.w3cschool.cn/tensorflow_python/tf_python_io.html "tf.python_io概览") 23. [TensorFlow使用之tf.queue]("TensorFlow使用之tf.queue") 1. [PriorityQueue](https://www.w3cschool.cn/tensorflow_python/tf_queue_PriorityQueue.html "TensorFlow函数教程：tf.queue.PriorityQueue") 2. [QueueBase](https://www.w3cschool.cn/tensorflow_python/tf_queue_QueueBase.html "TensorFlow函数教程：tf.queue.QueueBase") 2. [如何导出estimator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dp7q2dsj.html "如何导出estimator") 1. [TensorFlow解析Example](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z75l2dsm.html "TensorFlow解析Example") 2. [TensorFlow分类头的输出设置](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fcra2dsr.html "TensorFlow分类头的输出设置") 3. [TensorFlow使用之tf.lite]("TensorFlow使用之tf.lite") 1. [tf.lite概览](https://www.w3cschool.cn/tensorflow_python/tf_lite.html "TensorFlow模块：tf.lite") 2. [Interpreter](https://www.w3cschool.cn/tensorflow_python/tf_lite_Interpreter.html "TensorFlow函数教程：tf.lite.Interpreter") 3. [OpHint](https://www.w3cschool.cn/tensorflow_python/tf_lite_OpHint.html "TensorFlow函数教程：tf.lite.OpHint") 4. [OpHintArgumentTracker](https://www.w3cschool.cn/tensorflow_python/tf_lite_OpHint_OpHintArgumentTracker.html "TensorFlow函数教程：tf.lite.OpHint.OpHintArgumentTracker") 5. [OpsSet](https://www.w3cschool.cn/tensorflow_python/tf_lite_OpsSet.html "TensorFlow函数教程：tf.lite.OpsSet") 6. [TFLiteConverter](https://www.w3cschool.cn/tensorflow_python/tf_lite_TFLiteConverter.html "TensorFlow函数教程：tf.lite.TFLiteConverter") 7. [TocoConverter](https://www.w3cschool.cn/tensorflow_python/tf_lite_TocoConverter.html "TensorFlow函数教程：tf.lite.TocoConverter") 8. [toco\_convert](https://www.w3cschool.cn/tensorflow_python/tf_lite_toco_convert.html "TensorFlow函数教程：tf.lite.toco_convert") 4. [TensorFlow 功能函数]("TensorFlow 功能函数") 1. [TensorFlow 计算张量的绝对值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u5a128yk.html "TensorFlow 计算张量的绝对值") 2. [TensorFlow 返回张量列表的元素和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hsfk2c80.html "TensorFlow 返回张量列表的元素和") 3. [TensorFlow 计算张量元素的 acos](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n6872c84.html "TensorFlow 计算张量元素的 acos") 4. [TensorFlow 计算张量的和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rgow2c85.html "TensorFlow 计算张量的和") 5. [TensorFlow check\_numerics操作](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-e1ou2c86.html "TensorFlow check_numerics操作") 6. [TensorFlow 添加张量元素](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i6t32c87.html "TensorFlow 添加张量元素") 7. [TensorFlow 包装Graph.add\_to](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g6s42c89.html "TensorFlow 包装Graph.add_to") 8. [TensorFlow 梯度组合](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w8a92c8a.html "TensorFlow 梯度组合") 9. [TensorFlow 返回张量的最大值索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lbm22c8b.html "TensorFlow 返回张量的最大值索引") 10. [TensorFlow 返回张量的最小值索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yzgj2c8d.html "TensorFlow 返回张量的最小值索引") 11. [TensorFlow 返回张量维度上最大值的索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ao4e2c8e.html "TensorFlow 返回张量维度上最大值的索引") 12. [TensorFlow 返回张量维度上最小值的索引](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tdjh2c8g.html "TensorFlow 返回张量维度上最小值的索引") 13. [TensorFlow 计算asin中的元素](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c6y32c8h.html "TensorFlow 计算asin中的元素") 14. [TensorFlow中Assert相关函数说明](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-69le2c8i.html "TensorFlow中Assert相关函数说明") 15. [TensorFlow中assign函数说明](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b4x72chd.html "TensorFlow中assign函数说明") 16. [TensorFlow 将给定的 type\_value 转换为 DType](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p61j2ckb.html "TensorFlow 将给定的 type_value 转换为 DType") 17. [TensorFlow 将给定张量的条目转换为字符串](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mv3p2ckd.html "TensorFlow 将给定张量的条目转换为字符串") 18. [TensorFlow 计算元素的反正切](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4fnz2ckf.html "TensorFlow 计算元素的反正切") 19. [TensorFlow AttrValue类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4sdh2ckk.html "TensorFlow AttrValue类") 20. [TensorFlow BatchToSpace的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bnyg2ckl.html "TensorFlow BatchToSpace的使用") 21. [TensorFlow 计算正则化的不完全beta积分](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7v1x2cmg.html "TensorFlow 计算正则化的不完全beta积分") 22. [TensorFlow 计算整数数组值出现的次数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-peiz2cmo.html "TensorFlow 计算整数数组值出现的次数") 23. [TensorFlow 张量类型转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2t7u2cmq.html "TensorFlow 张量类型转换") 24. [TensorFlow 在张量上应用布尔掩码](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nvek2cmu.html "TensorFlow 在张量上应用布尔掩码") 25. [TensorFlow 返回广播形状](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ucpd2cnc.html "TensorFlow 返回广播形状") 26. [TensorFlow 创建case](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8wgl2co7.html "TensorFlow 创建case") 27. [TensorFlow 张量投射](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zfsn2coc.html "TensorFlow 张量投射") 28. [TensorFlow 使用ceil返回不下于x的最小整数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bqr32cto.html "使用ceil返回不下于x的最小整数") 29. [TensorFlow 检查NaN和Inf值的张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-dz6u2ctp.html "TensorFlow检查NaN和Inf值的张量") 30. [TensorFlow计算方阵的Cholesky分解](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o8592cut.html "TensorFlow计算方阵的Cholesky分解") 31. [将TensorFlow张量值剪辑到最大平均L2-norm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5onx2cuu.html "将TensorFlow张量值剪辑到最大平均L2-norm") 32. [TensorFlow通过规范总和的比例剪切张量的值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1dmp2cx7.html "TensorFlow通过规范总和的比例剪切张量的值") 33. [TensorFlow 将张量值剪辑到最大 L2-norm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jy7l2cx8.html "将TensorFlow张量值剪辑到最大 L2-norm") 34. [TensorFlow 将张量剪辑为指定的最大值和最小值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hz2c2cxb.html "剪辑TensorFlow张量为指定的最大值和最小值") 35. [TensorFlow 将实数转换为复数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h6tb2cxc.html "如何将TensorFlow的实数转换为复数") 36. [TensorFlow 将张量沿一个维度串联](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-euxa2cz7.html "将TensorFlow张量沿一个维度串联") 37. [TensorFlow tf.cond函数的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w47x2cz8.html "tf.cond函数的使用") 38. [TensorFlow聚合梯度的条件累加器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p5h32czb.html "TensorFlow聚合梯度的条件累加器") 39. [如何使用ConditionalAccumulatorBase](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-586o2d2v.html "如何使用ConditionalAccumulatorBase") 40. [TensorFlow如何计算混淆矩阵](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d4p62d2x.html "TensorFlow如何计算混淆矩阵") 41. [如何使用conj](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-e2812d2z.html "如何使用conj") 42. [在TensorFlow中使用constant函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jabh2d30.html "在TensorFlow中使用constant函数") 43. [TensorFlow使用初始化器生成具有常量值的张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vy2d2d4r.html "TensorFlow使用初始化器生成具有常量值的张量") 44. [container的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1hza2d4v.html "container的使用") 45. [control\_dependencies的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bguz2d73.html "control_dependencies的使用") 46. [TensorFlow将给定值转换为张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g2tw2d76.html "TensorFlow将给定值转换为张量") 47. [TensorFlow将给定的对象转换为张量或IndexedSlices](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c6r72d77.html "TensorFlow将给定的对象转换为张量或IndexedSlices") 48. [TensorFlow将值转换为SparseTensor或张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wl1v2d78.html "TensorFlow将值转换为SparseTensor或张量") 49. [计算TensorFlow元素的cos值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ogbm2ddb.html "计算TensorFlow元素的cos值") 50. [TensorFlow元素的双曲余弦](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cl572ddc.html "TensorFlow元素的双曲余弦") 51. [计算TensorFlow中非零元素的个数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tr5s2ddf.html "计算TensorFlow中非零元素的个数") 52. [TensorFlow对ref进行递增](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4bps2ddg.html "TensorFlow对ref进行递增") 53. [TensorFlow怎么创建分区变量列表](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kigf2ddh.html "TensorFlow怎么创建分区变量列表") 54. [计算张量沿轴的累积积](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ug6f2df4.html "计算张量沿轴的累积积") 55. [TensorFlow张量的累积和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4pkj2dhm.html "TensorFlow张量的累积和") 56. [TensorFlow字符串解码](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-aod42dhp.html "TensorFlow字符串解码") 57. [TensorFlow CSV转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9lc22dhr.html "TensorFlow CSV转换") 58. [JSON编码的示例记录转换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ipov2dj7.html "JSON编码的示例记录转换") 59. [TensorFlow将raw格式转换为张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sw7v2dj8.html "TensorFlow将raw格式转换为张量") 60. [TensorFlow数据从深度排列为空间数据块](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lrb62djd.html "TensorFlow数据从深度排列为空间数据块") 61. [反量化TensorFlow张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hgen2dje.html "反量化TensorFlow张量") 62. [TensorFlow设备规范](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nlfw2du0.html "TensorFlow设备规范") 63. [使用diag返回对角张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c3e22du4.html "使用diag返回对角张量") 64. [TensorFlow如何返回对角线](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vr4o2dxa.html "TensorFlow如何返回对角线") 65. [TensorFlow除法运算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yxij2dxd.html "TensorFlow除法运算") 66. [使用Dimension类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-odpm2dxe.html "使用Dimension类") 67. [TensorFlow张量的元素类型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d6x22e0f.html "TensorFlow张量的元素类型") 68. [TensorFlow分区索引的使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l84d2e19.html "TensorFlow分区索引的使用") 69. [如何插入TensorFlow数据张量的值](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tcwk2e3z.html "如何插入TensorFlow数据张量的值") 70. [计算TensorFlow序列之间的编辑距离](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ovtr2e43.html "计算TensorFlow序列之间的编辑距离") 71. [TensorFlow如何实现张量收缩](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qszk2e44.html "TensorFlow如何实现张量收缩") 72. [TensorFlow实现字符串编码](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ux292e7n.html "TensorFlow实现字符串编码") 73. [TensorFlow怎么使用equal函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gwj82e7u.html "怎么使用equal函数") 74. [TensorFlow误差函数计算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-k52n2e7y.html "TensorFlow误差函数计算") 75. [计算TensorFlow元素的指数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fewr2e80.html "计算TensorFlow元素的指数") 76. [如何在TensorFlow张量形状中插入维度](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-x5ic2ecp.html "如何在TensorFlow张量形状中插入维度") 77. [构造TensorFlow的单位矩阵](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gt7i2ed3.html "构造TensorFlow的单位矩阵") 78. [怎么对TensorFlow进行假量化](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-iw8n2ei2.html "怎么对TensorFlow进行假量化") 79. [TensorFlow快速傅里叶变换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n1j32ei4.html "TensorFlow快速傅里叶变换") 80. [利用标量值填充TensorFlow张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-onqp2ei6.html "利用标量值填充TensorFlow张量") 81. [TensorFlow怎么解析固定长度输入功能](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-85v32emy.html "TensorFlow怎么解析固定长度输入功能") 82. [TensorFlow从文件中输出记录的读取器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sp792epm.html "TensorFlow从文件中输出记录的读取器") 83. [如何将TensorFlow输入特征解析为张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pmju2epv.html "如何将TensorFlow输入特征解析为张量") 84. [如何使用TensorFlow的floor函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-67vg2epy.html "如何使用TensorFlow的floor函数") 85. [TensorFlow函数：tf.floormod](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-raf72erk.html "TensorFlow函数：tf.floormod") 86. [TensorFlow高阶函数：tf.foldl](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jza52erm.html "TensorFlow高阶函数：tf.foldl") 87. [TensorFlow张量变换函数：tf.gather](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w3uo2err.html "TensorFlow张量变换函数：tf.gather") 88. [TensorFlow函数：tf.gather\_nd](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ctv72eru.html "TensorFlow函数：tf.gather_nd") 89. [TensorFlow函数：get\_collection](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zn8e2euz.html "TensorFlow函数：get_collection") 90. [default函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7fyk2ev2.html "default函数") 91. [TensorFlow函数：get\_session\_handle](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cso52ev7.html "TensorFlow函数：get_session_handle") 92. [TensorFlow变量函数：tf.get\_local\_variable](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fe2i2ev9.html "TensorFlow变量函数：tf.get_local_variable") 93. [tf.get\_variable函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-st6f2ez1.html "tf.get_variable函数") 94. [TensorFlow全局函数：tf.global\_norm](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-x42t2ez2.html "TensorFlow全局函数：tf.global_norm") 95. [使用global\_variables获取全局变量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4isv2ez3.html "使用global_variables获取全局变量") 96. [TensorFlow初始化器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sbv42ez5.html "TensorFlow初始化器") 97. [TensorFlow梯度计算：tf.gradients](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kbev2ezc.html "TensorFlow梯度计算：tf.gradients") 98. [tf.GraphKeys函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ne7t2ezd.html "tf.GraphKeys函数") 99. [TensorFlow比较函数：tf.greater](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-neuv2f1k.html "TensorFlow比较函数：tf.greater") 100. [TensorFlow流程控制函数：tf.group](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mgxu2f1p.html "TensorFlow流程控制函数：tf.group") 101. [Hessian函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ugsi2f1r.html "Hessian函数") 102. [TensorFlow逆向快速傅里叶变换函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-c91g2f1t.html "TensorFlow逆向快速傅里叶变换函数") 103. [Gamma函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l45v2f1w.html "Gamma函数") 104. [TensorFlow复数函数：tf.imag](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uzgw2f1x.html "TensorFlow复数函数：tf.imag") 105. [TensorFlow图形处理函数：tf.import\_graph\_def](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vhtj2f4p.html "TensorFlow图形处理函数：tf.import_graph_def") 106. [TensorFlow函数：IndexedSlices](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d9li2f4s.html "TensorFlow函数：IndexedSlices") 107. [tf.invert\_permutation：张量的逆置换](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o6fn2f4t.html "tf.invert_permutation：张量的逆置换") 108. [TensorFlow使用isnan函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8rnb2f4u.html "TensorFlow使用isnan函数") 109. [TensorFlow数学函数：tf.lbeta](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i4p52f4v.html "TensorFlow数学函数：tf.lbeta") 110. [TensorFlow函数：tf.less](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fw182f4x.html "TensorFlow函数：tf.less") 111. [TensorFlow函数：tf.lin\_space](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bdpa2f7u.html "TensorFlow函数：tf.lin_space") 112. [LMDB文件读取器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kpqi2f7v.html "LMDB文件读取器") 113. [加载TensorFlow插件的函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u5hr2f85.html "加载TensorFlow插件的函数") 114. [TensorFlow局部变量：tf.local\_variables](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-r2qh2f8a.html "TensorFlow局部变量：tf.local_variables") 115. [tf.log：计算TensorFlow的自然对数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mesu2f8d.html "tf.log：计算TensorFlow的自然对数") 116. [TensorFlow函数：logical](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sypo2fa0.html "TensorFlow函数：logical") 117. [TensorFlow变量函数：tf.make\_template](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yt182fa1.html "TensorFlow变量函数：tf.make_template") 118. [创建TensorProto](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fxrl2fa6.html "创建TensorProto") 119. [TensorFlow：tf.map\_fn函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ibqv2fdw.html "TensorFlow：tf.map_fn函数") 120. [TensorFlow：tf.matching\_files函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-v1x52fee.html "TensorFlow：tf.matching_files函数") 121. [TensorFlow：tf.matmul函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l5x72feg.html "TensorFlow：tf.matmul函数") 122. [TensorFlow矩阵数学函数：tf.matrix\_band\_part](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lyqv2fgm.html "TensorFlow矩阵数学函数：tf.matrix_band_part") 123. [TensorFlow计算方阵行列式的函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vbhn2fgo.html "TensorFlow计算方阵行列式的函数") 124. [TensorFlow：tf.matrix\_diag函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-htmy2fgq.html "TensorFlow：tf.matrix_diag函数") 125. [TensorFlow：tf.matrix\_inverse函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-39tu2fgu.html "TensorFlow：tf.matrix_inverse函数") 126. [TensorFlow函数：tf.matrix\_set\_diag](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uqdo2fit.html "TensorFlow函数：tf.matrix_set_diag") 127. [TensorFlow函数：tf.matrix\_solve](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8q9l2fiw.html "TensorFlow函数：tf.matrix_solve") 128. [TensorFlow函数：tf.matrix\_solve\_ls](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wkzd2fiy.html "TensorFlow函数：tf.matrix_solve_ls") 129. [TensorFlow函数：tf.matrix\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cqaz2fj2.html "TensorFlow函数：tf.matrix_transpose") 130. [TensorFlow函数：tf.matrix\_triangular\_solve](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d62a2fk5.html "TensorFlow函数：tf.matrix_triangular_solve") 131. [TensorFlow数学函数：tf.maximum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z6y42fk6.html "TensorFlow数学函数：tf.maximum") 132. [TensorFlow张量变换：tf.meshgrid](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-a4xe2fk7.html "TensorFlow张量变换：tf.meshgrid") 133. [TensorFlow数学函数：tf.minimum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3f4v2fk9.html "TensorFlow数学函数：tf.minimum") 134. [TensorFlow变量：tf.min\_max\_variable\_partitioner](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yh7i2fkd.html "TensorFlow变量：tf.min_max_variable_partitioner") 135. [multinomial函数：从多项式分布中抽取样本](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l5d12fln.html "multinomial函数：从多项式分布中抽取样本") 136. [TensorFlow构建图形：tf.name\_scope函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ydnb2flr.html "TensorFlow构建图形：tf.name_scope函数") 137. [TensorFlow函数：tf.negative](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1ink2flu.html "TensorFlow函数：tf.negative") 138. [TensorFlow范数：tf.norm函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-alxk2fqe.html "TensorFlow范数：tf.norm函数") 139. [TensorFlow比较运算符：tf.not\_equal](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h6852fqf.html "TensorFlow比较运算符：tf.not_equal") 140. [TensorFlow函数：tf.ones](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-uyfn2fqi.html "TensorFlow函数：tf.ones") 141. [TensorFlow函数：tf.ones\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5brh2fsk.html "TensorFlow函数：tf.ones_initializer") 142. [TensorFlow函数：tf.ones\_like](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wy5d2fsl.html "TensorFlow函数：tf.ones_like") 143. [tf.one\_hot函数：返回one-hot张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fh1b2fsm.html "tf.one_hot函数：返回one-hot张量") 144. [TensorFlow函数：tf.OpError](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jnqa2ftu.html "TensorFlow函数：tf.OpError") 145. [tf.orthogonal\_initializer函数：正交矩阵的初始化器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2t9p2ftv.html "tf.orthogonal_initializer函数：正交矩阵的初始化器") 146. [TensorFlow填充张量函数：tf.pad](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gkxf2fty.html "TensorFlow填充张量函数：tf.pad") 147. [TensorFlow函数：tf.parallel\_stack](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zdwj2fu1.html "TensorFlow函数：tf.parallel_stack") 148. [解析Example原型：tf.parse\_single\_example](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5nrv2fwa.html "解析Example原型：tf.parse_single_example") 149. [TensorFlow占位符：tf.placeholder](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w7yt2fwc.html "TensorFlow占位符：tf.placeholder") 150. [TensorFlow函数：tf.parse\_example](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-y2fl2fyo.html "TensorFlow函数：tf.parse_example") 151. [TensorFlow函数：解析SequenceExample原型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nfqr2fz3.html "TensorFlow函数：解析SequenceExample原型") 152. [TensorFlow占位符操作：tf.placeholder\_with\_default](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fzkm2g13.html "TensorFlow占位符操作：tf.placeholder_with_default") 153. [TensorFlow幂值计算函数：tf.pow](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5kb92g14.html "TensorFlow幂值计算函数：tf.pow") 154. [tf.Print函数：打印张量列表](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sfcv2g3o.html "tf.Print函数：打印张量列表") 155. [包装用于TensorFlow操作的Python函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7eil2g75.html "包装用于TensorFlow操作的Python函数") 156. [tf.qr函数：计算矩阵的QR分解](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2urq2g9d.html "tf.qr函数：计算矩阵的QR分解") 157. [TensorFlow函数：tf.quantized\_concat](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l3x62gas.html "TensorFlow函数：tf.quantized_concat") 158. [TensorFlow张量变换函数：tf.quantize\_v2](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ydjo2gcv.html "TensorFlow张量变换函数：tf.quantize_v2") 159. [TensorFlow函数：tf.random\_crop](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-gojy2gfp.html "TensorFlow函数：tf.random_crop") 160. [TensorFlow队列函数：tf.QueueBase](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1lme2ghb.html "TensorFlow队列函数：tf.QueueBase") 161. [TensorFlow函数：tf.random\_gamma](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qsft2gjv.html "TensorFlow函数：tf.random_gamma") 162. [TensorFlow随机值：tf.random\_normal函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n7hl2gmf.html "TensorFlow随机值：tf.random_normal函数") 163. [tf.random\_normal\_initializer：TensorFlow初始化器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b8jq2gqh.html "tf.random_normal_initializer：TensorFlow初始化器") 164. [TensorFlow函数：tf.random\_poisson](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-s2ia2gsz.html "TensorFlow函数：tf.random_poisson") 165. [TensorFlow函数：tf.random\_shuffle](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-erti2gv6.html "TensorFlow函数：tf.random_shuffle") 166. [TensorFlow随机值函数：tf.random\_uniform](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rnix2gv7.html "TensorFlow随机值函数：tf.random_uniform") 167. [TensorFlow函数：tf.random\_uniform\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f1np2gyt.html "TensorFlow函数：tf.random_uniform_initializer") 168. [tf.range函数：创建数字序列](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5taw2h1h.html "tf.range函数：创建数字序列") 169. [tf.rank函数：返回TensorFlow张量的秩](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lani2h2z.html "tf.rank函数：返回TensorFlow张量的秩") 170. [TensorFlow读取器基类：tf.ReaderBase](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-q1pg2h6e.html "TensorFlow读取器基类：tf.ReaderBase") 171. [TensorFlow函数：tf.real](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5mzj2h9x.html "TensorFlow函数：tf.real") 172. [tf.realdiv函数：x/y元素的实数类型](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fi9u2hcl.html "tf.realdiv函数：x/y元素的实数类型") 173. [用于计算倒数的tf.reciprocal函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wdxc2hem.html "用于计算倒数的tf.reciprocal函数") 174. [tf.reduce\_all函数：计算张量在维度上的逻辑和](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4ihe2hen.html "tf.reduce_all函数：计算张量在维度上的逻辑和") 175. [TensorFlow函数：tf.reduce\_any](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d2y32hgr.html "TensorFlow函数：tf.reduce_any") 176. [tf.reduce\_join函数：添加字符串张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zku82hj1.html "tf.reduce_join函数：添加字符串张量") 177. [TensorFlow函数：tf.reduce\_logsumexp](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-lfkd2hog.html "TensorFlow函数：tf.reduce_logsumexp") 178. [TensorFlow函数：tf.reduce\_max](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wvzy2hqq.html "TensorFlow函数：tf.reduce_max") 179. [TensorFlow函数：tf.reduce\_mean](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hckq2htb.html "TensorFlow函数：tf.reduce_mean") 180. [TensorFlow函数：tf.reduce\_min](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-m6e72huz.html "TensorFlow函数：tf.reduce_min") 181. [TensorFlow函数：tf.reduce\_prod](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jsl62hyf.html "TensorFlow函数：tf.reduce_prod") 182. [TensorFlow函数：tf.reduce\_sum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5y4d2i2n.html "TensorFlow函数：tf.reduce_sum") 183. [TensorFlow函数：tf.RegisterGradient](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zet32i4v.html "TensorFlow函数：tf.RegisterGradient") 184. [TensorFlow函数：将base\_type的对象转换为Tensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kuxj2i7r.html "TensorFlow函数：将base_type的对象转换为Tensor") 185. [TensorFlow：tf.report\_uninitialized\_variables函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kgj12i9l.html "TensorFlow：tf.report_uninitialized_variables函数") 186. [TensorFlow函数：如何计算填充](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jpu92ic6.html "TensorFlow函数：如何计算填充") 187. [TensorFlow：tf.reset\_default\_graph函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nmgf2idd.html "TensorFlow：tf.reset_default_graph函数") 188. [TensorFlow：使用tf.reshape函数重塑张量](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bumd2ide.html "TensorFlow：使用tf.reshape函数重塑张量") 189. [TensorFlow：tf.reverse函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pjcm2ifr.html "TensorFlow：tf.reverse函数") 190. [TensorFlow函数：tf.reverse\_sequence](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-xhau2ihk.html "TensorFlow函数：tf.reverse_sequence") 191. [tf.reverse\_v2函数：反转张量的特定维度](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7s9u2ikn.html "tf.reverse_v2函数：反转张量的特定维度") 192. [TensorFlow：tf.rint函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p5nz2in4.html "TensorFlow：tf.rint函数") 193. [TensorFlow四舍五入：tf.round函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cnvw2in5.html "TensorFlow四舍五入：tf.round函数") 194. [tf.rsqrt函数：TensorFlow平方根倒数计算](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2oh42ipi.html "tf.rsqrt函数：TensorFlow平方根倒数计算") 195. [TensorFlow函数：tf.RunOptions](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-la9q2izr.html "TensorFlow函数：tf.RunOptions") 196. [TensorFlow函数：tf.saturate\_cast](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ht8s2j1k.html "TensorFlow函数：tf.saturate_cast") 197. [TensorFlow数学函数：tf.scalar\_mul](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b18q2j1n.html "TensorFlow数学函数：tf.scalar_mul") 198. [TensorFlow函数：tf.scatter\_nd](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-led42j40.html "TensorFlow函数：tf.scatter_nd") 199. [TensorFlow变量函数：tf.scatter\_nd\_add](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-h5yo2j65.html "TensorFlow变量函数：tf.scatter_nd_add") 200. [TensorFlow：tf.scatter\_nd\_sub函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ucfx2j8s.html "TensorFlow：tf.scatter_nd_sub函数") 201. [TensorFlow函数：tf.scatter\_nd\_update](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mvda2jah.html "TensorFlow函数：tf.scatter_nd_update") 202. [TensorFlow函数：tf.scatter\_sub](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1fc52jc9.html "TensorFlow函数：tf.scatter_sub") 203. [tf.scatter\_update函数：将稀疏更新应用于变量引用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-g3v22jf1.html "tf.scatter_update函数：将稀疏更新应用于变量引用") 204. [tf.segment\_max函数：计算一个张量的最大沿段](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d53n2jf2.html "tf.segment_max函数：计算一个张量的最大沿段") 205. [TensorFlow：tf.segment\_mean函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3hdm2jgq.html "TensorFlow：tf.segment_mean函数") 206. [TensorFlow：tf.segment\_min函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pvm32jgs.html "TensorFlow：tf.segment_min函数") 207. [TensorFlow：tf.segment\_prod函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ywg2jil.html "TensorFlow：tf.segment_prod函数") 208. [TensorFlow数学函数：tf.segment\_sum函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ua7w2jip.html "TensorFlow数学函数：tf.segment_sum函数") 209. [TensorFlow数学函数：tf.self\_adjoint\_eig](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hxnm2jlw.html "TensorFlow数学函数：tf.self_adjoint_eig") 210. [TensorFlow数学函数：tf.self\_adjoint\_eigvals](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-tgqx2jlx.html "TensorFlow数学函数：tf.self_adjoint_eigvals") 211. [TensorFlow张量变换函数：tf.sequence\_mask](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2elp2jns.html "TensorFlow张量变换函数：tf.sequence_mask") 212. [TensorFlow：tf.serialize\_many\_sparse 函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f8a12jnu.html "TensorFlow：tf.serialize_many_sparse 函数") 213. [TensorFlow：tf.serialize\_sparse函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pfeh2jpx.html "TensorFlow：tf.serialize_sparse函数") 214. [TensorFlow：tf.serialize\_tensor函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5uhd2jrm.html "TensorFlow：tf.serialize_tensor函数") 215. [TensorFlow数学函数：tf.setdiff1d](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w3bd2jro.html "TensorFlow数学函数：tf.setdiff1d") 216. [TensorFlow随机张量：tf.set\_random\_seed函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fqc42jvo.html "TensorFlow随机张量：tf.set_random_seed函数") 217. [TensorFlow：tf.Session函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-slp52jz8.html "TensorFlow：tf.Session函数") 218. [TensorFlow张量变换函数：tf.shape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qais2k0z.html "TensorFlow张量变换函数：tf.shape") 219. [TensorFlow：tf.shape\_n函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-smjo2k45.html "TensorFlow：tf.shape_n函数") 220. [TensorFlow神经网络：tf.sigmoid函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-d46p2k47.html "TensorFlow神经网络：tf.sigmoid函数") 221. [TensorFlow数学函数：tf.sign](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i5vr2k6r.html "TensorFlow数学函数：tf.sign") 222. [TensorFlow数学函数：tf.sin函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l3qs2k6t.html "TensorFlow数学函数：tf.sin函数") 223. [TensorFlow数学函数：tf.sinh函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-km4u2k9k.html "TensorFlow数学函数：tf.sinh函数") 224. [TensorFlow张量变换：tf.size](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zowf2k9l.html "TensorFlow张量变换：tf.size") 225. [TensorFlow分割：tf.slice函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cdj92kbd.html "TensorFlow分割：tf.slice函数") 226. [TensorFlow：tf.space\_to\_batch函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wygr2kbg.html "TensorFlow：tf.space_to_batch函数") 227. [TensorFlow张量变换：tf.space\_to\_batch\_nd函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-emqk2kf4.html "TensorFlow张量变换：tf.space_to_batch_nd函数") 228. [TensorFlow：tf.space\_to\_depth函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rkfq2kf9.html "TensorFlow：tf.space_to_depth函数") 229. [TensorFlow：tf.SparseConditionalAccumulator函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yc732khq.html "TensorFlow：tf.SparseConditionalAccumulator函数") 230. [TensorFlow函数：tf.SparseFeature](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6ai52khv.html "TensorFlow函数：tf.SparseFeature") 231. [TensorFlow稀疏张量函数：tf.SparseTensor](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-le4w2kjm.html "TensorFlow稀疏张量函数：tf.SparseTensor") 232. [TensorFlow函数：tf.SparseTensorValue](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cix62kjs.html "TensorFlow函数：tf.SparseTensorValue") 233. [TensorFlow函数：tf.sparse\_add](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j9oc2l7p.html "TensorFlow函数：tf.sparse_add") 234. [TensorFlow函数：tf.sparse\_concat](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z5t32ld5.html "TensorFlow函数：tf.sparse_concat") 235. [TensorFlow函数：tf.sparse\_fill\_empty\_rows](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-evr22ldc.html "TensorFlow函数：tf.sparse_fill_empty_rows") 236. [TensorFlow函数：tf.sparse\_mask](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jbqn2lfh.html "TensorFlow函数：tf.sparse_mask") 237. [TensorFlow函数：tf.sparse\_matmul](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b2ca2lfi.html "TensorFlow函数：tf.sparse_matmul") 238. [TensorFlow稀疏张量：tf.sparse\_maximum函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-qyhc2lhq.html "TensorFlow稀疏张量：tf.sparse_maximum函数") 239. [TensorFlow稀疏张量：tf.sparse\_merge函数](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8ca92lhv.html "TensorFlow稀疏张量：tf.sparse_merge函数") 240. [TensorFlow函数：tf.sparse\_minimum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9yfl2ll0.html "TensorFlow函数：tf.sparse_minimum") 241. [TensorFlow函数：tf.sparse\_placeholder](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zj1v2ll2.html "TensorFlow函数：tf.sparse_placeholder") 242. [TensorFlow函数：tf.sparse\_reduce\_max](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7kto2lnq.html "TensorFlow函数：tf.sparse_reduce_max") 243. [TensorFlow函数：tf.sparse\_reduce\_max\_sparse](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8kp22lnu.html "TensorFlow函数：tf.sparse_reduce_max_sparse") 244. [TensorFlow函数：tf.sparse\_reduce\_sum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-hv612lqb.html "TensorFlow函数：tf.sparse_reduce_sum") 245. [TensorFlow函数：tf.sparse\_reduce\_sum\_sparse](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j4w72lrm.html "TensorFlow函数：tf.sparse_reduce_sum_sparse") 246. [TensorFlow函数：tf.sparse\_reorder](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1wsb2lro.html "TensorFlow函数：tf.sparse_reorder") 247. [TensorFlow函数：tf.sparse\_reset\_shape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4plj2ltw.html "TensorFlow函数：tf.sparse_reset_shape") 248. [TensorFlow函数：tf.sparse\_reshape](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zoct2ltz.html "TensorFlow函数：tf.sparse_reshape") 249. [TensorFlow函数：tf.sparse\_retain](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ad3z2lx3.html "TensorFlow函数：tf.sparse_retain") 250. [TensorFlow函数：tf.sparse\_segment\_mean](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3jzp2lx4.html "TensorFlow函数：tf.sparse_segment_mean") 251. [TensorFlow函数：tf.sparse\_segment\_sqrt\_n](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pybc2lz3.html "TensorFlow函数：tf.sparse_segment_sqrt_n") 252. [TensorFlow数学函数：tf.sparse\_segment\_sum](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-4yfd2m0a.html "TensorFlow数学函数：tf.sparse_segment_sum") 253. [TensorFlow函数：tf.sparse\_slice](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pl2f2m0i.html "TensorFlow函数：tf.sparse_slice") 254. [TensorFlow函数：tf.sparse\_softmax](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i6mg2m62.html "TensorFlow函数：tf.sparse_softmax") 255. [TensorFlow函数：tf.sparse\_split](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ws7m2m63.html "TensorFlow函数：tf.sparse_split") 256. [TensorFlow函数：tf.sparse\_tensor\_dense\_matmul](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-f4s12m7w.html "TensorFlow函数：tf.sparse_tensor_dense_matmul") 257. [TensorFlow函数：tf.sparse\_tensor\_to\_dense](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3ca12m7z.html "TensorFlow函数：tf.sparse_tensor_to_dense") 258. [TensorFlow函数：tf.sparse\_to\_dense](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3axj2ma6.html "TensorFlow函数：tf.sparse_to_dense") 259. [TensorFlow函数：tf.sparse\_to\_indicator](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-w7hc2mab.html "TensorFlow函数：tf.sparse_to_indicator") 260. [TensorFlow函数：tf.sparse\_transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-or7q2mcw.html "TensorFlow函数：tf.sparse_transpose") 261. [TensorFlow函数：tf.split](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-x1yu2mcy.html "TensorFlow函数：tf.split") 262. [TensorFlow函数：tf.sqrt](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-75pb2mfi.html "TensorFlow函数：tf.sqrt") 263. [TensorFlow函数：tf.square](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-p5lq2mfk.html "TensorFlow函数：tf.square") 264. [TensorFlow函数：tf.squared\_difference](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-o6al2mig.html "TensorFlow函数：tf.squared_difference") 265. [TensorFlow函数：tf.squeeze](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-1yed2mih.html "TensorFlow函数：tf.squeeze") 266. [TensorFlow函数：tf.stack](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-36hu2mm9.html "TensorFlow函数：tf.stack") 267. [TensorFlow函数：tf.stop\_gradient](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jego2mma.html "TensorFlow函数：tf.stop_gradient") 268. [TensorFlow函数：tf.strided\_slice](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vip72mnv.html "TensorFlow函数：tf.strided_slice") 269. [TensorFlow函数：tf.string\_join](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ukns2mo5.html "TensorFlow函数：tf.string_join") 270. [TensorFlow函数：tf.string\_split](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ys2z2mra.html "TensorFlow函数：tf.string_split") 271. [TensorFlow函数：tf.string\_to\_hash\_bucket](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-b7kc2mrg.html "TensorFlow函数：tf.string_to_hash_bucket") 272. [TensorFlow函数：tf.string\_to\_hash\_bucket\_fast](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-krd42mus.html "TensorFlow函数：tf.string_to_hash_bucket_fast") 273. [TensorFlow函数：tf.string\_to\_hash\_bucket\_strong](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-j82p2mut.html "TensorFlow函数：tf.string_to_hash_bucket_strong") 274. [TensorFlow函数：tf.string\_to\_number](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2kdb2my1.html "TensorFlow函数：tf.string_to_number") 275. [TensorFlow函数：tf.substr](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8e5w2my4.html "TensorFlow函数：tf.substr") 276. [TensorFlow函数：tf.subtract](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-duje2n2k.html "TensorFlow函数：tf.subtract") 277. [TensorFlow：Summary类](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-pe722n2p.html "TensorFlow：Summary类") 278. [TensorFlow函数：tf.svd](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-i1th2n54.html "TensorFlow函数：tf.svd") 279. [TensorFlow函数：tf.tables\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-y5j32n55.html "TensorFlow函数：tf.tables_initializer") 280. [TensorFlow函数：tf.tan](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-yazk2n7h.html "TensorFlow函数：tf.tan") 281. [TensorFlow函数：tf.tanh](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-nusi2n9g.html "TensorFlow函数：tf.tanh") 282. [TensorFlow函数：tf.tensordot](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-urjs2n9h.html "TensorFlow函数：tf.tensordot") 283. [TensorFlow函数：tf.TextLineReader](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-2s342nbz.html "TensorFlow函数：tf.TextLineReader") 284. 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[TensorFlow函数：tf.truncatemod](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-vz292nxf.html "TensorFlow函数：tf.truncatemod") 298. [TensorFlow函数：tf.tuple](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-byi32nxj.html "TensorFlow函数：tf.tuple") 299. [TensorFlow函数：tf.uniform\_unit\_scaling\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fy6t2o0o.html "TensorFlow函数：tf.uniform_unit_scaling_initializer") 300. [TensorFlow函数：tf.unique](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-duv62o0r.html "TensorFlow函数：tf.unique") 301. [TensorFlow函数：tf.unique\_with\_counts](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-cdi62o34.html "TensorFlow函数：tf.unique_with_counts") 302. [TensorFlow函数：tf.unravel\_index](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-5rum2o39.html "TensorFlow函数：tf.unravel_index") 303. 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