🕷️ Crawler Inspector

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Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 8 (from laksa137)

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/\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.w3cschool.cn/tensorflow_python/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.w3cschool.cn\/tensorflow_python\/","crawl_time":1775832166,"first_indexed_time":1505930015,"http_code":200,"src_unparsed":"cn,w3cschool!www,\/tensorflow_python\/ s443","src_root_hash":"17163751617681654208","history_drop_reason":null,"meta_title":"TensorFlow官方文档_w3cschool","meta_descriptions":["TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，而谷歌的工程师们也正在使用TensorFlow作为内部的机器学习系统。现在，谷歌已经将其开源，并将他们使用TensorFlow的效果分享_来自TensorFlow官方文档，w3cschool编程狮。"],"attrs_boilerpipe_text":"该文档正持续更新中...\n关于《TensorFlow官方文档》\n《TensorFlow官方文档》原文地址：\nhttp:\/\/devdocs.io\/tensorflow~python\/\n，本次经过\nW3Cschool.cn\n进行翻译整理，让大家能更好的认识机器学习。机器学习可能是未来新品和新技术的一个关键部分。\nTensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，而谷歌的工程师们也正在使用TensorFlow作为内部的机器学习系统。现在，谷歌已经将其开源，并将他们使用TensorFlow的效果分享在许多的科研文章中。\n机器学习行业的发展速度很快，为了能够让更多技术人员有效的学习到这一先进的人工智能学习系统，W3Cschool对TensorFlow官方文档进行中文翻译，其中有纰漏之处希望各位能够提出。\n谁可以用 TensorFlow?\nTensorflow是属于任何人的，不管你的身份是学生、研究员、工程师、开发者、创业者或者等等都可以在Apache 2.0 开源协议下使用Tensorflow，只要您对Tensorflow感兴趣。\n一起了解TensorFlow\nTensorFlow是一个采用数据流图（data flow graphs），用于数值计算的开源软件库。节点（Nodes）在图中表示数学操作，图中的线（edges）则表示在节点间相互联系的多维数据数组，即张量（tensor）。它灵活的架构让你可以在多种平台上展开计算，例如台式计算机中的一个或多个CPU（或GPU），服务器，移动设备等等。TensorFlow 最初由Google大脑小组（隶属于Google机器智能研究机构）的研究员和工程师们开发出来，用于机器学习和深度神经网络方面的研究，但这个系统的通用性使其也可广泛用于其他计算领域。\nTensorFlow相关手册\n《TensorFlow深度学习》\n《doc_tensorflow_cpp》\n《doc_tensorflow_guide》\n《doc_tensorflow_python》\n领取免费资料\n扫描下方二维码或打开微信搜一搜“\nw3cschool编程狮\n”关注公众号回复关键词【\nPython123\n】或者【\nPython资料包\n】免费领取 Python 学习资料，包含软件安装包、思维导图等","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- [编程实战](http:\/\/www.w3cschool.cn\/codecamp \"编程实战\")\n- [编程题库](http:\/\/www.w3cschool.cn\/exam \"编程题库\")\n- [编程教程](http:\/\/www.w3cschool.cn\/tutorial \"编程教程\")\n- [在线工具](https:\/\/123.w3cschool.cn\/webtools \"w3cschool在线工具集合\")\n- [![](https:\/\/atts.w3cschool.cn\/trae.png) 免费 AI IDE](https:\/\/www.trae.com.cn\/?utm_source=advertising&utm_medium=w3cschool_ug_cpa&utm_term=hw_trae_w3cschool)\n- [VIP会员 *开学季*](http:\/\/www.w3cschool.cn\/vip?fcode=headermenu \"VIP会员\")\n\n[App下载](http:\/\/www.w3cschool.cn\/download \"App下载\")\n\n![APP二维码](https:\/\/7nsts.w3cschool.cn\/images\/w3c\/app-qrcode2.png)\n\n扫码下载编程狮APP\n\n[注册](http:\/\/www.w3cschool.cn\/register?refer=\/)\\|[登录](http:\/\/www.w3cschool.cn\/login?refer=\/)\n\n注册成功 X\n\n![](https:\/\/atts.w3cschool.cn\/attachments\/avatar2\/avatar_0.jpg)\n\nW3Cschool\n\n恭喜您成为首批注册用户\n\n获得88经验值奖励\n\n马上体验\n\n- [入门教程](https:\/\/www.w3cschool.cn\/tutorial \"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夜间\n\n[![TensorFlow官方文档](https:\/\/atts.w3cschool.cn\/attachments\/cover\/cover_tensorflow_python.png?t=1666251388&imageView2\/1\/w\/150\/h\/84)](https:\/\/www.w3cschool.cn\/tensorflow_python \"TensorFlow官方文档\")\n\n# TensorFlow官方文档\n阅读(7851k)  [收藏]()  [赞(153)]()  [分享](\"分享\")  [《开源手册授权书》](https:\/\/www.w3cschool.cn\/my\/project\/grant\/tensorflow_python \"手册授权书\")\n\n#### 手册简介\nTensorFlow 表达了高层次的机器学习计算，大幅简化了第一代系统，并且具备更好的灵活性和可延展性。\n\n#### 手册说明\n![](https:\/\/www.w3cschool.cn\/attachments\/image\/20170809\/1502271394835036.png)\n\n### 该文档正持续更新中...\n## 关于《TensorFlow官方文档》\n***\n《TensorFlow官方文档》原文地址：[http:\/\/devdocs.io\/tensorflow~python\/](https:\/\/link.w3cschool.cn\/?target=http%3A%2F%2Fdevdocs.io%2Ftensorflow~python%2F)，本次经过[W3Cschool.cn](https:\/\/www.w3cschool.cn\/)进行翻译整理，让大家能更好的认识机器学习。机器学习可能是未来新品和新技术的一个关键部分。\n\nTensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，而谷歌的工程师们也正在使用TensorFlow作为内部的机器学习系统。现在，谷歌已经将其开源，并将他们使用TensorFlow的效果分享在许多的科研文章中。\n\n机器学习行业的发展速度很快，为了能够让更多技术人员有效的学习到这一先进的人工智能学习系统，W3Cschool对TensorFlow官方文档进行中文翻译，其中有纰漏之处希望各位能够提出。\n\n## 谁可以用 TensorFlow?\n***\nTensorflow是属于任何人的，不管你的身份是学生、研究员、工程师、开发者、创业者或者等等都可以在Apache 2.0 开源协议下使用Tensorflow，只要您对Tensorflow感兴趣。\n\n## 一起了解TensorFlow\n***\nTensorFlow是一个采用数据流图（data flow graphs），用于数值计算的开源软件库。节点（Nodes）在图中表示数学操作，图中的线（edges）则表示在节点间相互联系的多维数据数组，即张量（tensor）。它灵活的架构让你可以在多种平台上展开计算，例如台式计算机中的一个或多个CPU（或GPU），服务器，移动设备等等。TensorFlow 最初由Google大脑小组（隶属于Google机器智能研究机构）的研究员和工程师们开发出来，用于机器学习和深度神经网络方面的研究，但这个系统的通用性使其也可广泛用于其他计算领域。\n\n## TensorFlow相关手册\n***\n[《TensorFlow深度学习》](https:\/\/www.w3cschool.cn\/tensorflow\/)\n\n[《doc\\_tensorflow\\_cpp》](https:\/\/www.w3cschool.cn\/doc_tensorflow_cpp\/)\n\n[《doc\\_tensorflow\\_guide》](https:\/\/www.w3cschool.cn\/doc_tensorflow_guide\/)\n\n[《doc\\_tensorflow\\_python》](https:\/\/www.w3cschool.cn\/doc_tensorflow_python\/)\n\n## [领取免费资料](https:\/\/www.w3cschool.cn\/tensorflow_python\/#guidead)\n扫描下方二维码或打开微信搜一搜“w3cschool编程狮”关注公众号回复关键词【Python123】或者【Python资料包】免费领取 Python 学习资料，包含软件安装包、思维导图等\n\n![w3cschool编程狮微信公众号](https:\/\/atts.w3cschool.cn\/attachments\/image\/20220422\/1650607409789609.png)\n\n#### 更新记录\n- [下载与安装TensorFlow](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-9rbt28sr.html \"下载与安装TensorFlow\") 04-22 16:14\n- [TensorFlow的基本使用](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fibz28ss.html \"TensorFlow的基本使用\") 11-30 17:09\n- [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\") 11-23 14:11\n- [TensorFlow函数：tf.sparse\\_to\\_dense](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-3axj2ma6.html \"TensorFlow函数：tf.sparse_to_dense\") 10-31 14:53\n- [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\") 10-21 13:47\n- [TensorFlow函数教程：tf.nn.nce\\_loss](https:\/\/www.w3cschool.cn\/tensorflow_python\/tf_nn_nce_loss.html \"TensorFlow函数教程：tf.nn.nce_loss\") 10-20 15:17\n- [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\") 10-19 15:08\n- [TensorFlow模块：tf.nn](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-fjqh2zgc.html \"TensorFlow模块：tf.nn\") 09-10 10:07\n- [TensorFlow函数：get\\_collection](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-zn8e2euz.html \"TensorFlow函数：get_collection\") 09-07 09:59\n- [TensorFlow初始化器](https:\/\/www.w3cschool.cn\/tensorflow_python\/tensorflow_python-sbv42ez5.html \"TensorFlow初始化器\") 09-04 14:13\n\n#### 多端阅读\n- [在PC\/MAC上查看《TensorFlow官方文档》 下载《TensorFlow官方文档》离线版客户端，进入客户端后通过搜索当前教程手册的名称并下载，就可查看当前离线教程文档。](https:\/\/www.w3cschool.cn\/download\/tensorflow_python.html#downloadpc \"下载TensorFlow官方文档离线版\")\n- [在移动端查看《TensorFlow官方文档》 扫一扫或直接访问 https:\/\/m.w3cschool.cn\/tensorflow\\_python\/](https:\/\/m.w3cschool.cn\/tensorflow_python\/ \"TensorFlow官方文档 移动端阅读\")\n- [在手机APP上查看《TensorFlow官方文档》 下载w3cschool手机App端，请从各大安卓应用商店、苹果App Store搜索并下载w3cschool手机客户端，在App中搜索当前教程手册的名称查看。](https:\/\/www.w3cschool.cn\/download\/#downloadapp \"下载w3cschool手机版\")\n\n返回[w3cschool](https:\/\/www.w3cschool.cn\/)官网主页\n\n## 扩展栏目\n##### [开发工具IDE](https:\/\/www.w3cschool.cn\/webide)\n##### [编程训练营](https:\/\/www.w3cschool.cn\/codecamp\/)\n##### 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Boilerpipe Text	该文档正持续更新中... 关于《TensorFlow官方文档》《TensorFlow官方文档》原文地址： http://devdocs.io/tensorflow~python/ ，本次经过 W3Cschool.cn 进行翻译整理，让大家能更好的认识机器学习。机器学习可能是未来新品和新技术的一个关键部分。 TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，而谷歌的工程师们也正在使用TensorFlow作为内部的机器学习系统。现在，谷歌已经将其开源，并将他们使用TensorFlow的效果分享在许多的科研文章中。机器学习行业的发展速度很快，为了能够让更多技术人员有效的学习到这一先进的人工智能学习系统，W3Cschool对TensorFlow官方文档进行中文翻译，其中有纰漏之处希望各位能够提出。谁可以用 TensorFlow? Tensorflow是属于任何人的，不管你的身份是学生、研究员、工程师、开发者、创业者或者等等都可以在Apache 2.0 开源协议下使用Tensorflow，只要您对Tensorflow感兴趣。一起了解TensorFlow TensorFlow是一个采用数据流图（data flow graphs），用于数值计算的开源软件库。节点（Nodes）在图中表示数学操作，图中的线（edges）则表示在节点间相互联系的多维数据数组，即张量（tensor）。它灵活的架构让你可以在多种平台上展开计算，例如台式计算机中的一个或多个CPU（或GPU），服务器，移动设备等等。TensorFlow 最初由Google大脑小组（隶属于Google机器智能研究机构）的研究员和工程师们开发出来，用于机器学习和深度神经网络方面的研究，但这个系统的通用性使其也可广泛用于其他计算领域。 TensorFlow相关手册《TensorFlow深度学习》《doc_tensorflow_cpp》《doc_tensorflow_guide》《doc_tensorflow_python》领取免费资料扫描下方二维码或打开微信搜一搜“ w3cschool编程狮 ”关注公众号回复关键词【 Python123 】或者【 Python资料包】免费领取 Python 学习资料，包含软件安装包、思维导图等
Markdown	[![w3cschool](https://7nsts.w3cschool.cn/images/logonew2.png)](http://www.w3cschool.cn/ "w3cschool") - [编程课程](http://www.w3cschool.cn/courses "编程课程") - [编程实战](http://www.w3cschool.cn/codecamp "编程实战") - [编程题库](http://www.w3cschool.cn/exam "编程题库") - [编程教程](http://www.w3cschool.cn/tutorial "编程教程") - [在线工具](https://123.w3cschool.cn/webtools "w3cschool在线工具集合") - [![](https://atts.w3cschool.cn/trae.png) 免费 AI IDE](https://www.trae.com.cn/?utm_source=advertising&utm_medium=w3cschool_ug_cpa&utm_term=hw_trae_w3cschool) - [VIP会员开学季](http://www.w3cschool.cn/vip?fcode=headermenu "VIP会员") [App下载](http://www.w3cschool.cn/download "App下载") ![APP二维码](https://7nsts.w3cschool.cn/images/w3c/app-qrcode2.png) 扫码下载编程狮APP [注册](http://www.w3cschool.cn/register?refer=/)\\|[登录](http://www.w3cschool.cn/login?refer=/) 注册成功 X ![](https://atts.w3cschool.cn/attachments/avatar2/avatar_0.jpg) W3Cschool 恭喜您成为首批注册用户获得88经验值奖励马上体验 - [入门教程](https://www.w3cschool.cn/tutorial "编程入门教程") - [编程课程](https://www.w3cschool.cn/learn "编程课程") - [VIP会员](https://www.w3cschool.cn/vip?fcode=m_indexmenu "VIP会员") [![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]("目录") - [搜索]("搜索") - [书签]("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. 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[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. [TensorFlow函数：tf.tile](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-k14x2nc7.html "TensorFlow函数：tf.tile") 285. [TensorFlow函数：tf.to\_bfloat16](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-xerq2ndi.html "TensorFlow函数：tf.to_bfloat16") 286. [TensorFlow函数：tf.to\_double](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-7zlv2ndj.html "TensorFlow函数：tf.to_double") 287. [TensorFlow函数：tf.to\_float](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-ayvr2nfu.html "TensorFlow函数：tf.to_float") 288. [TensorFlow函数：tf.to\_int32](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-l6vd2nfv.html "TensorFlow函数：tf.to_int32") 289. [TensorFlow函数：tf.to\_int64](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wxuy2nm6.html "TensorFlow函数：tf.to_int64") 290. [TensorFlow函数：tf.trace](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-phqa2nm7.html "TensorFlow函数：tf.trace") 291. [TensorFlow函数：tf.trainable\_variables](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mt3n2no2.html "TensorFlow函数：tf.trainable_variables") 292. [TensorFlow函数：tf.transpose](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-z61d2no5.html "TensorFlow函数：tf.transpose") 293. [TensorFlow函数：tf.truediv](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-mkop2nss.html "TensorFlow函数：tf.truediv") 294. [TensorFlow函数：tf.truncatediv](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-kfzp2nst.html "TensorFlow函数：tf.truncatediv") 295. [TensorFlow函数：tf.truncated\_normal](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-m94j2nux.html "TensorFlow函数：tf.truncated_normal") 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") 297. [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. [TensorFlow函数：tf.unsorted\_segment\_max](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-n3o42o5y.html "TensorFlow函数：tf.unsorted_segment_max") 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") 305. [TensorFlow函数：tf.unstack](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-bsky2o7k.html "TensorFlow函数：tf.unstack") 306. [TensorFlow函数：tf.variables\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wrv82o7l.html "TensorFlow函数：tf.variables_initializer") 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") 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") 309. [TensorFlow函数：tf.variable\_scope](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-61ue2ocp.html "TensorFlow函数：tf.variable_scope") 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") 311. [TensorFlow函数：tf.VarLenFeature](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-8utg2oez.html "TensorFlow函数：tf.VarLenFeature") 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") 313. [TensorFlow函数：tf.where](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-u6l92oik.html "TensorFlow函数：tf.where") 314. [TensorFlow函数：tf.while\_loop](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-wife2oil.html "TensorFlow函数：tf.while_loop") 315. [TensorFlow函数：tf.WholeFileReader](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3xkc2osa.html "TensorFlow函数：tf.WholeFileReader") 316. [TensorFlow函数：tf.write\_file](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-43tf2oko.html "TensorFlow函数：tf.write_file") 317. [TensorFlow函数：tf.zeros](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3fj22okr.html "TensorFlow函数：tf.zeros") 318. [TensorFlow函数：tf.zeros\_initializer](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-eo7k2opv.html "TensorFlow函数：tf.zeros_initializer") 319. [TensorFlow函数：tf.zeros\_like](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-rjsp2opw.html "TensorFlow函数：tf.zeros_like") 320. [TensorFlow函数：tf.zeta](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-jv2n2os8.html "TensorFlow函数：tf.zeta") 5. [TensorFlow 手写数字分类问题]("TensorFlow的MNIST手写数字分类问题") 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") 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") 搜索 A A 默认夜间 [![TensorFlow官方文档](https://atts.w3cschool.cn/attachments/cover/cover_tensorflow_python.png?t=1666251388&imageView2/1/w/150/h/84)](https://www.w3cschool.cn/tensorflow_python "TensorFlow官方文档") # TensorFlow官方文档阅读(7851k) [收藏]() [赞(153)]() [分享]("分享") [《开源手册授权书》](https://www.w3cschool.cn/my/project/grant/tensorflow_python "手册授权书") #### 手册简介 TensorFlow 表达了高层次的机器学习计算，大幅简化了第一代系统，并且具备更好的灵活性和可延展性。 #### 手册说明 ![](https://www.w3cschool.cn/attachments/image/20170809/1502271394835036.png) ### 该文档正持续更新中... ## 关于《TensorFlow官方文档》 * 《TensorFlow官方文档》原文地址：[http://devdocs.io/tensorflow~python/](https://link.w3cschool.cn/?target=http%3A%2F%2Fdevdocs.io%2Ftensorflow~python%2F)，本次经过[W3Cschool.cn](https://www.w3cschool.cn/)进行翻译整理，让大家能更好的认识机器学习。机器学习可能是未来新品和新技术的一个关键部分。 TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，而谷歌的工程师们也正在使用TensorFlow作为内部的机器学习系统。现在，谷歌已经将其开源，并将他们使用TensorFlow的效果分享在许多的科研文章中。机器学习行业的发展速度很快，为了能够让更多技术人员有效的学习到这一先进的人工智能学习系统，W3Cschool对TensorFlow官方文档进行中文翻译，其中有纰漏之处希望各位能够提出。 ## 谁可以用 TensorFlow? * Tensorflow是属于任何人的，不管你的身份是学生、研究员、工程师、开发者、创业者或者等等都可以在Apache 2.0 开源协议下使用Tensorflow，只要您对Tensorflow感兴趣。 ## 一起了解TensorFlow * TensorFlow是一个采用数据流图（data flow graphs），用于数值计算的开源软件库。节点（Nodes）在图中表示数学操作，图中的线（edges）则表示在节点间相互联系的多维数据数组，即张量（tensor）。它灵活的架构让你可以在多种平台上展开计算，例如台式计算机中的一个或多个CPU（或GPU），服务器，移动设备等等。TensorFlow 最初由Google大脑小组（隶属于Google机器智能研究机构）的研究员和工程师们开发出来，用于机器学习和深度神经网络方面的研究，但这个系统的通用性使其也可广泛用于其他计算领域。 ## TensorFlow相关手册 * [《TensorFlow深度学习》](https://www.w3cschool.cn/tensorflow/) [《doc\_tensorflow\_cpp》](https://www.w3cschool.cn/doc_tensorflow_cpp/) [《doc\_tensorflow\_guide》](https://www.w3cschool.cn/doc_tensorflow_guide/) [《doc\_tensorflow\_python》](https://www.w3cschool.cn/doc_tensorflow_python/) ## [领取免费资料](https://www.w3cschool.cn/tensorflow_python/#guidead) 扫描下方二维码或打开微信搜一搜“w3cschool编程狮”关注公众号回复关键词【Python123】或者【Python资料包】免费领取 Python 学习资料，包含软件安装包、思维导图等 ![w3cschool编程狮微信公众号](https://atts.w3cschool.cn/attachments/image/20220422/1650607409789609.png) #### 更新记录 - [下载与安装TensorFlow](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-9rbt28sr.html "下载与安装TensorFlow") 04-22 16:14 - [TensorFlow的基本使用](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fibz28ss.html "TensorFlow的基本使用") 11-30 17:09 - [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") 11-23 14:11 - [TensorFlow函数：tf.sparse\_to\_dense](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-3axj2ma6.html "TensorFlow函数：tf.sparse_to_dense") 10-31 14:53 - [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") 10-21 13:47 - [TensorFlow函数教程：tf.nn.nce\_loss](https://www.w3cschool.cn/tensorflow_python/tf_nn_nce_loss.html "TensorFlow函数教程：tf.nn.nce_loss") 10-20 15:17 - [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") 10-19 15:08 - [TensorFlow模块：tf.nn](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-fjqh2zgc.html "TensorFlow模块：tf.nn") 09-10 10:07 - [TensorFlow函数：get\_collection](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-zn8e2euz.html "TensorFlow函数：get_collection") 09-07 09:59 - [TensorFlow初始化器](https://www.w3cschool.cn/tensorflow_python/tensorflow_python-sbv42ez5.html "TensorFlow初始化器") 09-04 14:13 #### 多端阅读 - [在PC/MAC上查看《TensorFlow官方文档》下载《TensorFlow官方文档》离线版客户端，进入客户端后通过搜索当前教程手册的名称并下载，就可查看当前离线教程文档。](https://www.w3cschool.cn/download/tensorflow_python.html#downloadpc "下载TensorFlow官方文档离线版") - [在移动端查看《TensorFlow官方文档》扫一扫或直接访问 https://m.w3cschool.cn/tensorflow\_python/](https://m.w3cschool.cn/tensorflow_python/ "TensorFlow官方文档移动端阅读") - [在手机APP上查看《TensorFlow官方文档》下载w3cschool手机App端，请从各大安卓应用商店、苹果App Store搜索并下载w3cschool手机客户端，在App中搜索当前教程手册的名称查看。](https://www.w3cschool.cn/download/#downloadapp "下载w3cschool手机版") 返回[w3cschool](https://www.w3cschool.cn/)官网主页 ## 扩展栏目 ##### [开发工具IDE](https://www.w3cschool.cn/webide) ##### [编程训练营](https://www.w3cschool.cn/codecamp/) ##### [Wiki列表](https://www.w3cschool.cn/tensorflow_python/list/) [![python3微课](https://www.w3cschool.cn/attachments/image/20190425/1556162304623142.png)](https://www.w3cschool.cn/minicourse/play/python3course) ## 分类导航 - 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Readable Markdown	![](https://www.w3cschool.cn/attachments/image/20170809/1502271394835036.png) ### 该文档正持续更新中... ## 关于《TensorFlow官方文档》 * 《TensorFlow官方文档》原文地址：[http://devdocs.io/tensorflow~python/](https://link.w3cschool.cn/?target=http%3A%2F%2Fdevdocs.io%2Ftensorflow~python%2F)，本次经过[W3Cschool.cn](https://www.w3cschool.cn/)进行翻译整理，让大家能更好的认识机器学习。机器学习可能是未来新品和新技术的一个关键部分。 TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，而谷歌的工程师们也正在使用TensorFlow作为内部的机器学习系统。现在，谷歌已经将其开源，并将他们使用TensorFlow的效果分享在许多的科研文章中。机器学习行业的发展速度很快，为了能够让更多技术人员有效的学习到这一先进的人工智能学习系统，W3Cschool对TensorFlow官方文档进行中文翻译，其中有纰漏之处希望各位能够提出。 ## 谁可以用 TensorFlow? * Tensorflow是属于任何人的，不管你的身份是学生、研究员、工程师、开发者、创业者或者等等都可以在Apache 2.0 开源协议下使用Tensorflow，只要您对Tensorflow感兴趣。 ## 一起了解TensorFlow * TensorFlow是一个采用数据流图（data flow graphs），用于数值计算的开源软件库。节点（Nodes）在图中表示数学操作，图中的线（edges）则表示在节点间相互联系的多维数据数组，即张量（tensor）。它灵活的架构让你可以在多种平台上展开计算，例如台式计算机中的一个或多个CPU（或GPU），服务器，移动设备等等。TensorFlow 最初由Google大脑小组（隶属于Google机器智能研究机构）的研究员和工程师们开发出来，用于机器学习和深度神经网络方面的研究，但这个系统的通用性使其也可广泛用于其他计算领域。 ## TensorFlow相关手册 * [《TensorFlow深度学习》](https://www.w3cschool.cn/tensorflow/) [《doc\_tensorflow\_cpp》](https://www.w3cschool.cn/doc_tensorflow_cpp/) [《doc\_tensorflow\_guide》](https://www.w3cschool.cn/doc_tensorflow_guide/) [《doc\_tensorflow\_python》](https://www.w3cschool.cn/doc_tensorflow_python/) ## [领取免费资料](https://www.w3cschool.cn/tensorflow_python/#guidead) 扫描下方二维码或打开微信搜一搜“w3cschool编程狮”关注公众号回复关键词【Python123】或者【Python资料包】免费领取 Python 学习资料，包含软件安装包、思维导图等 ![w3cschool编程狮微信公众号](https://atts.w3cschool.cn/attachments/image/20220422/1650607409789609.png)
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