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Calculated Shard: 103 (from laksa161)

2. Crawled Status Check

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curl -X POST \
  'http://laksa103.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.geeksforgeeks.org/deep-learning/tensorflow/\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.geeksforgeeks.org/deep-learning/tensorflow/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.geeksforgeeks.org\/deep-learning\/tensorflow\/","crawl_time":1774979555,"first_indexed_time":1749793974,"http_code":200,"src_unparsed":"org,geeksforgeeks!www,\/deep-learning\/tensorflow\/ s443","src_root_hash":"12046344915360636903","history_drop_reason":null,"meta_title":"TensorFlow Tutorial - GeeksforGeeks","meta_descriptions":["Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.","Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice\/competitive programming\/company interview Questions."],"attrs_boilerpipe_text":"Courses\nTutorials\nInterview Prep\nDSA\nPractice Problems\nC\nC++\nJava\nPython\nJavaScript\nData Science\nMachine Learning\nCourses\nLast Updated :\n26 Feb, 2026\nTensorFlow is an open-source machine-learning framework developed by Google. It provides flexible tools to create neural networks for tasks such as classification, computer vision and natural language processing.\nIt is highly scalable for both research and production.\nIt supports CPUs, GPUs, and TPUs for faster computation.\nPrevious\nPause\nNext\n2 \/ 4\nIntroduction\nThis section provides a brief overview of TensorFlow and its importance in machine learning and deep learning.\nIntroduction TensorFlow\nArchitecture of TensorFlow\nInstallations in macOS\nInstallations in Windows\nInstallations in Linux\nTensorFlow vs PyTorch\nTensorFlow vs Keras\nBasics\nThis section covers the fundamental concepts required to start building and working with tensors and models.\nTensor\nTensor Indexing\nTensor Reshaping\nTensor Broadcasting\nRagged Tensors\nSparse Tensors\nString Tensors\nVariables\nAutomatic Differentiation\nGraphs and Functions\nBitwise Operations\nNumerical Operations\nSequential Model\nFunctional API\nRunning o CPU\nRunning o GPU\nModel Building and Training\nThis section explains how to create, train, evaluate and manage deep learning models.\nTensorFlow Keras API\nNeural Network Layers\nSingle Layer Perceptron\nMulti-Layer Perceptron Learning\nBuilding a Neural Network\nActivation Functions\nLoss Functions\nOptimizers\nBackpropagation\nGradient Descent\nmodel.evaluate()\nmodel.fit()\nEvaluation Metrics\nSaving and Loading Models\nCallbacks\nVisualizing Training Progress\nNatural Language Processing (NLP)\nThis section covers how TensorFlow is used to process and model text data for language-based tasks.\nText Preprocessing\nTF-IDF Representations\nBag-of-Words Representations\nRecurrent Layers\nRecurrent Neural Networks (RNN)\nAttention Layers\nTransformer Model\nText Classification Using RNNs\nText Generation using LSTM\nText Generation using GRU\nTime Series Forecasting\nDetecting Spam Emails\nSentence Autocomplete\nComputer Vision\nThis section explains how TensorFlow is used to build models for processing and analyzing images and visual data.\nConvolution Layers\nConvolutional Neural Network (CNN)\nImage Classifications\nObject Detection\nFaceMask Detection\nImage Generation using GANs\nApplications of TensorFlow\nHighly scalable for large ML systems\nProduction-ready deployment tools\nStrong ecosystem for research and industry\nComment\nP\npawan_kumar_gunjan\nArticle Tags:\nDeep Learning\nAI-ML-DS\nPython-Tensorflow\nTutorials\n+1 More\nExplore\nDeep Learning Basics\nIntroduction to Deep Learning\n6 min read\nArtificial intelligence vs Machine Learning vs Deep Learning\n3 min read\nDeep Learning Examples: Practical Applications in Real Life\n3 min read\nChallenges in Deep Learning\n7 min read\nWhy Deep Learning is Important\n5 min read\nNeural Networks Basics\nWhat is a Neural Network?\n10 min read\nTypes of Neural Networks\n7 min read\nLayers in Artificial Neural Networks (ANN)\n4 min read\nActivation functions in Neural Networks\n7 min read\nFeedforward Neural Network\n6 min read\nBackpropagation in Neural Network\n9 min read\nDeep Learning Models\nConvolutional Neural Network (CNN) in Deep Learning\n5 min read\nIntroduction to Recurrent Neural Networks\n10 min read\nWhat is LSTM - Long Short Term Memory?\n5 min read\nGated Recurrent Unit Networks\n6 min read\nTransformers in Machine Learning\n5 min read\nAutoencoders in Machine Learning\n7 min read\nGenerative Adversarial Network (GAN)\n10 min read\nDeep Learning Frameworks\nTensorFlow Tutorial\n2 min read\nPyTorch Tutorial\n5 min read\nCaffe : Deep Learning Framework\n8 min read\nApache MXNet - Deep Learning Framework\n4 min read\nTheano in Python\n4 min read\nModel Evaluation\nGradient Descent Algorithm in Machine Learning\n13 min read\nMomentum-based Gradient Optimizer - ML\n4 min read\nAdagrad Optimizer in Deep Learning\n6 min read\nRMSProp Optimizer in Deep Learning\n5 min read\nWhat is Adam Optimizer?\n4 min read\nDeep Learning Projects\nLung Cancer Detection using Convolutional Neural Network (CNN)\n7 min read\nCat & Dog Classification using Convolutional Neural Network in Python\n5 min read\nSentiment Analysis with an Recurrent Neural Networks (RNN)\n5 min read\nText Generation using Recurrent Long Short Term Memory Network\n4 min read\nMachine Translation with Transformer in Python\n6 min read\nDeep Learning Interview Questions\n15+ min read","attrs_markdown":"[![geeksforgeeks](https:\/\/media.geeksforgeeks.org\/gfg-gg-logo.svg)](https:\/\/www.geeksforgeeks.org\/)\n\n![search icon](https:\/\/media.geeksforgeeks.org\/auth-dashboard-uploads\/Property=Light---Default.svg)\n\n- Sign In\n- [Courses]()\n- [Tutorials]()\n- [Interview Prep]()\n\n- [DSA](https:\/\/www.geeksforgeeks.org\/dsa\/dsa-tutorial-learn-data-structures-and-algorithms\/)\n- [Practice Problems](https:\/\/www.geeksforgeeks.org\/explore)\n- [C](https:\/\/www.geeksforgeeks.org\/c\/c-programming-language\/)\n- [C++](https:\/\/www.geeksforgeeks.org\/cpp\/c-plus-plus\/)\n- [Java](https:\/\/www.geeksforgeeks.org\/java\/java\/)\n- [Python](https:\/\/www.geeksforgeeks.org\/python\/python-programming-language-tutorial\/)\n- [JavaScript](https:\/\/www.geeksforgeeks.org\/javascript\/javascript-tutorial\/)\n- [Data Science](https:\/\/www.geeksforgeeks.org\/data-science\/data-science-for-beginners\/)\n- [Machine Learning](https:\/\/www.geeksforgeeks.org\/machine-learning\/machine-learning\/)\n- [Courses](https:\/\/www.geeksforgeeks.org\/courses)\n\n# TensorFlow Tutorial\nLast Updated : 26 Feb, 2026\n\nTensorFlow is an open-source machine-learning framework developed by Google. It provides flexible tools to create neural networks for tasks such as classification, computer vision and natural language processing.\n\n- It is highly scalable for both research and production.\n- It supports CPUs, GPUs, and TPUs for faster computation.\n\n![tensor\\_in\\_tensorflow.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)![tensor\\_in\\_tensorflow.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)\n\n![neural\\_network\\_in\\_tensorflow\\_.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517623929\/neural_network_in_tensorflow_.webp)![neural\\_network\\_in\\_tensorflow\\_.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517623929\/neural_network_in_tensorflow_.webp)\n\n![tensorflow\\_for\\_nlp.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517251159\/tensorflow_for_nlp.webp)![tensorflow\\_for\\_nlp.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517251159\/tensorflow_for_nlp.webp)\n\n![tensorflow\\_for\\_computer\\_vision.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)![tensorflow\\_for\\_computer\\_vision.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)\n\n2 \/ 4\n## Introduction\nThis section provides a brief overview of TensorFlow and its importance in machine learning and deep learning.\n\n- [Introduction TensorFlow](https:\/\/www.geeksforgeeks.org\/python\/introduction-to-tensorflow\/)\n- [Architecture of TensorFlow](https:\/\/www.geeksforgeeks.org\/python\/architecture-of-tensorflow\/)\n- [Installations in macOS](https:\/\/www.geeksforgeeks.org\/python\/install-tensorflow-on-macos\/)\n- [Installations in Windows](https:\/\/www.geeksforgeeks.org\/python\/how-to-install-python-tensorflow-in-windows\/)\n- [Installations in Linux](https:\/\/www.geeksforgeeks.org\/python\/install-tensorflow-on-linux\/)\n- [TensorFlow vs PyTorch](https:\/\/www.geeksforgeeks.org\/python\/difference-between-pytorch-and-tensorflow\/)\n- [TensorFlow vs Keras](https:\/\/www.geeksforgeeks.org\/machine-learning\/difference-between-tensorflow-and-keras\/)\n## Basics\nThis section covers the fundamental concepts required to start building and working with tensors and models.\n\n- [Tensor](https:\/\/www.geeksforgeeks.org\/deep-learning\/what-is-tensor-and-tensor-shapes\/)\n- [Tensor Indexing](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensor-indexing-in-tensorflow\/)\n- [Tensor Reshaping](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-reshape-a-tensor-in-tensorflow\/)\n- [Tensor Broadcasting](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensor-broadcasting\/)\n- [Ragged Tensors](https:\/\/www.geeksforgeeks.org\/deep-learning\/ragged-tensors-in-tensorflow\/)\n- [Sparse Tensors](https:\/\/www.geeksforgeeks.org\/deep-learning\/sparse-tensors-in-tensorflow\/)\n- [String Tensors](https:\/\/www.geeksforgeeks.org\/machine-learning\/string-tensors-in-tensorflow\/)\n- [Variables](https:\/\/www.geeksforgeeks.org\/python\/variables-in-tensorflow\/)\n- [Automatic Differentiation](https:\/\/www.geeksforgeeks.org\/deep-learning\/automatic-differentiation-in-tensorflow\/)\n- [Graphs and Functions](https:\/\/www.geeksforgeeks.org\/deep-learning\/graphs-and-functions-in-tensorflow\/)\n- [Bitwise Operations](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensor-bitwise-operations\/)\n- [Numerical Operations](https:\/\/www.geeksforgeeks.org\/deep-learning\/numerical-operations-in-tensorflow\/)\n- [Sequential Model](https:\/\/www.geeksforgeeks.org\/javascript\/tensorflow-js-tf-sequential-function\/)\n- [Functional API](https:\/\/www.geeksforgeeks.org\/data-science\/tf-function-in-tensorflow\/)\n- [Running o CPU](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-run-tensorflow-on-cpu\/)\n- [Running o GPU](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-use-tensorflow-with-gpu-support\/)\n## Model Building and Training\nThis section explains how to create, train, evaluate and manage deep learning models.\n\n- [TensorFlow Keras API](https:\/\/www.geeksforgeeks.org\/deep-learning\/training-a-neural-network-using-keras-api-in-tensorflow\/)\n- [Neural Network Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/neural-network-layers-in-tensorflow\/)\n- [Single Layer Perceptron](https:\/\/www.geeksforgeeks.org\/python\/single-layer-perceptron-in-tensorflow\/)\n- [Multi-Layer Perceptron Learning](https:\/\/www.geeksforgeeks.org\/deep-learning\/multi-layer-perceptron-learning-in-tensorflow\/)\n- [Building a Neural Network](https:\/\/www.geeksforgeeks.org\/deep-learning\/implementing-neural-networks-using-tensorflow\/)\n- [Activation Functions](https:\/\/www.geeksforgeeks.org\/deep-learning\/activation-function-in-tensorflow\/)\n- [Loss Functions](https:\/\/www.geeksforgeeks.org\/deep-learning\/loss-function-in-tensorflow\/)\n- [Optimizers](https:\/\/www.geeksforgeeks.org\/deep-learning\/optimizers-in-tensorflow\/)\n- [Backpropagation](https:\/\/www.geeksforgeeks.org\/deep-learning\/back-propagation-with-tensorflow\/)\n- [Gradient Descent](https:\/\/www.geeksforgeeks.org\/python\/gradient-descent-optimization-in-tensorflow\/)\n- [model.evaluate()](https:\/\/www.geeksforgeeks.org\/deep-learning\/model-evaluate-in-tensorflow\/)\n- [model.fit()](https:\/\/www.geeksforgeeks.org\/deep-learning\/model-fit-in-tensorflow\/)\n- [Evaluation Metrics](https:\/\/www.geeksforgeeks.org\/deep-learning\/evaluation-metrics-in-tensorflow\/)\n- [Saving and Loading Models](https:\/\/www.geeksforgeeks.org\/machine-learning\/save-and-load-models-in-tensorflow\/)\n- [Callbacks](https:\/\/www.geeksforgeeks.org\/deep-learning\/tf-keras-callbacks-callback-tensorflow-callbacks\/)\n- [Visualizing Training Progress](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-visualize-training-progress-in-tensorflow\/)\n## ****Natural Language Processing (NLP)****\nThis section covers how TensorFlow is used to process and model text data for language-based tasks.\n\n- [Text Preprocessing](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensorflow-for-nlu-and-text-processing\/)\n- [TF-IDF Representations](https:\/\/www.geeksforgeeks.org\/nlp\/tf-idf-representations-in-tensorflow\/)\n- [Bag-of-Words Representations](https:\/\/www.geeksforgeeks.org\/deep-learning\/bag-of-words-representations-in-tensorflow\/)\n- [Recurrent Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/recurrent-layers-in-tensorflow\/)\n- [Recurrent Neural Networks (RNN)](https:\/\/www.geeksforgeeks.org\/deep-learning\/training-of-recurrent-neural-networks-rnn-in-tensorflow\/)\n- [Attention Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/attention-layers-in-tensorflow\/)\n- [Transformer Model](https:\/\/www.geeksforgeeks.org\/deep-learning\/transformer-model-from-scratch-using-tensorflow\/)\n- [Text Classification Using RNNs](https:\/\/www.geeksforgeeks.org\/nlp\/rnn-for-text-classifications-in-nlp\/)\n- [Text Generation using LSTM](https:\/\/www.geeksforgeeks.org\/machine-learning\/text-generation-using-recurrent-long-short-term-memory-network\/)\n- [Text Generation using GRU](https:\/\/www.geeksforgeeks.org\/machine-learning\/ml-text-generation-using-gated-recurrent-unit-networks\/)\n- [Time Series Forecasting](https:\/\/www.geeksforgeeks.org\/deep-learning\/time-series-forecasting-using-tensorflow\/)\n- [Detecting Spam Emails](https:\/\/www.geeksforgeeks.org\/nlp\/detecting-spam-emails-using-tensorflow-in-python\/)\n- [Sentence Autocomplete](https:\/\/www.geeksforgeeks.org\/deep-learning\/sentence-autocomplete-using-tensorflow-from-scratch\/)\n## Computer Vision\nThis section explains how TensorFlow is used to build models for processing and analyzing images and visual data.\n\n- [Convolution Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/convolutional-layers-in-tensorflow\/)\n- [Convolutional Neural Network (CNN)](https:\/\/www.geeksforgeeks.org\/deep-learning\/convolutional-neural-network-cnn-in-tensorflow\/)\n- [Image Classifications](https:\/\/www.geeksforgeeks.org\/deep-learning\/cifar-10-image-classification-in-tensorflow\/)\n- [Object Detection](https:\/\/www.geeksforgeeks.org\/computer-vision\/object-detection-using-tensorflow\/)\n- [FaceMask Detection](https:\/\/www.geeksforgeeks.org\/deep-learning\/facemask-detection-using-tensorflow-in-python\/)\n- [Image Generation using GANs](https:\/\/www.geeksforgeeks.org\/computer-vision\/image-generation-using-generative-adversarial-networks-gans\/)\n## ****Applications of TensorFlow****\n- Highly scalable for large ML systems\n- Production-ready deployment tools\n- Strong ecosystem for research and industry\n\nComment\n\n[P](https:\/\/www.geeksforgeeks.org\/user\/pawan_kumar_gunjan\/)\n\n[pawan\\_kumar\\_gunjan](https:\/\/www.geeksforgeeks.org\/user\/pawan_kumar_gunjan\/)\n\n14\n\nArticle Tags:\n\nArticle Tags:\n\n[Deep Learning](https:\/\/www.geeksforgeeks.org\/category\/ai-ml-ds\/deep-learning\/)\n\n[AI-ML-DS](https:\/\/www.geeksforgeeks.org\/category\/ai-ml-ds\/)\n\n[Python-Tensorflow](https:\/\/www.geeksforgeeks.org\/tag\/python-tensorflow\/)\n\n[Tutorials](https:\/\/www.geeksforgeeks.org\/tag\/tutorials\/)\n\n[AI-ML-DS With Python](https:\/\/www.geeksforgeeks.org\/tag\/ai-ml-ds-python\/)\n\n[\\+1 More]()\n### Explore\n\n[![GeeksforGeeks](https:\/\/media.geeksforgeeks.org\/auth-dashboard-uploads\/gfgFooterLogo.png)](https:\/\/www.geeksforgeeks.org\/)\n\n![location](https:\/\/media.geeksforgeeks.org\/img-practice\/Location-1685004904.svg)\n\nCorporate & Communications Address:\n\nA-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)\n\n![location](https:\/\/media.geeksforgeeks.org\/img-practice\/Location-1685004904.svg)\n\nRegistered Address:\n\nK 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305\n\n[![GFG App on 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Development](https:\/\/www.geeksforgeeks.org\/videos\/category\/web-development\/)\n- [Data Science](https:\/\/www.geeksforgeeks.org\/videos\/category\/data-science\/)\n- [CS Subjects](https:\/\/www.geeksforgeeks.org\/videos\/category\/cs-subjects\/)\n\n- Preparation Corner\n- [Interview Corner](https:\/\/www.geeksforgeeks.org\/interview-prep\/interview-corner\/)\n- [Aptitude](https:\/\/www.geeksforgeeks.org\/aptitude\/aptitude-questions-and-answers\/)\n- [Puzzles](https:\/\/www.geeksforgeeks.org\/aptitude\/puzzles\/)\n- [GfG 160](https:\/\/www.geeksforgeeks.org\/courses\/gfg-160-series)\n- [System Design](https:\/\/www.geeksforgeeks.org\/system-design\/system-design-tutorial\/)\n\n[@GeeksforGeeks, Sanchhaya Education Private Limited](https:\/\/www.geeksforgeeks.org\/), [All rights reserved](https:\/\/www.geeksforgeeks.org\/copyright-information\/)\n\n![]()","attrs_readable_markdown":"[![geeksforgeeks](https:\/\/media.geeksforgeeks.org\/gfg-gg-logo.svg)](https:\/\/www.geeksforgeeks.org\/)\n\n![search icon](https:\/\/media.geeksforgeeks.org\/auth-dashboard-uploads\/Property=Light---Default.svg)\n\n- [Courses]()\n- [Tutorials]()\n- [Interview Prep]()\n\n- [DSA](https:\/\/www.geeksforgeeks.org\/dsa\/dsa-tutorial-learn-data-structures-and-algorithms\/)\n- [Practice Problems](https:\/\/www.geeksforgeeks.org\/explore)\n- [C](https:\/\/www.geeksforgeeks.org\/c\/c-programming-language\/)\n- [C++](https:\/\/www.geeksforgeeks.org\/cpp\/c-plus-plus\/)\n- [Java](https:\/\/www.geeksforgeeks.org\/java\/java\/)\n- [Python](https:\/\/www.geeksforgeeks.org\/python\/python-programming-language-tutorial\/)\n- [JavaScript](https:\/\/www.geeksforgeeks.org\/javascript\/javascript-tutorial\/)\n- [Data Science](https:\/\/www.geeksforgeeks.org\/data-science\/data-science-for-beginners\/)\n- [Machine Learning](https:\/\/www.geeksforgeeks.org\/machine-learning\/machine-learning\/)\n- [Courses](https:\/\/www.geeksforgeeks.org\/courses)\n\nLast Updated : 26 Feb, 2026\n\nTensorFlow is an open-source machine-learning framework developed by Google. It provides flexible tools to create neural networks for tasks such as classification, computer vision and natural language processing.\n\n- It is highly scalable for both research and production.\n- It supports CPUs, GPUs, and TPUs for faster computation.\n\n![tensor\\_in\\_tensorflow.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)![tensor\\_in\\_tensorflow.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)\n\n![neural\\_network\\_in\\_tensorflow\\_.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517623929\/neural_network_in_tensorflow_.webp)![neural\\_network\\_in\\_tensorflow\\_.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517623929\/neural_network_in_tensorflow_.webp)\n\n![tensorflow\\_for\\_nlp.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517251159\/tensorflow_for_nlp.webp)![tensorflow\\_for\\_nlp.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517251159\/tensorflow_for_nlp.webp)\n\n![tensorflow\\_for\\_computer\\_vision.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)![tensorflow\\_for\\_computer\\_vision.webp](https:\/\/media.geeksforgeeks.org\/wp-content\/uploads\/20260226153517504085\/tensor_in_tensorflow.webp)\n\n2 \/ 4\n## Introduction\nThis section provides a brief overview of TensorFlow and its importance in machine learning and deep learning.\n\n- [Introduction TensorFlow](https:\/\/www.geeksforgeeks.org\/python\/introduction-to-tensorflow\/)\n- [Architecture of TensorFlow](https:\/\/www.geeksforgeeks.org\/python\/architecture-of-tensorflow\/)\n- [Installations in macOS](https:\/\/www.geeksforgeeks.org\/python\/install-tensorflow-on-macos\/)\n- [Installations in Windows](https:\/\/www.geeksforgeeks.org\/python\/how-to-install-python-tensorflow-in-windows\/)\n- [Installations in Linux](https:\/\/www.geeksforgeeks.org\/python\/install-tensorflow-on-linux\/)\n- [TensorFlow vs PyTorch](https:\/\/www.geeksforgeeks.org\/python\/difference-between-pytorch-and-tensorflow\/)\n- [TensorFlow vs Keras](https:\/\/www.geeksforgeeks.org\/machine-learning\/difference-between-tensorflow-and-keras\/)\n## Basics\nThis section covers the fundamental concepts required to start building and working with tensors and models.\n\n- [Tensor](https:\/\/www.geeksforgeeks.org\/deep-learning\/what-is-tensor-and-tensor-shapes\/)\n- [Tensor Indexing](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensor-indexing-in-tensorflow\/)\n- [Tensor Reshaping](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-reshape-a-tensor-in-tensorflow\/)\n- [Tensor Broadcasting](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensor-broadcasting\/)\n- [Ragged Tensors](https:\/\/www.geeksforgeeks.org\/deep-learning\/ragged-tensors-in-tensorflow\/)\n- [Sparse Tensors](https:\/\/www.geeksforgeeks.org\/deep-learning\/sparse-tensors-in-tensorflow\/)\n- [String Tensors](https:\/\/www.geeksforgeeks.org\/machine-learning\/string-tensors-in-tensorflow\/)\n- [Variables](https:\/\/www.geeksforgeeks.org\/python\/variables-in-tensorflow\/)\n- [Automatic Differentiation](https:\/\/www.geeksforgeeks.org\/deep-learning\/automatic-differentiation-in-tensorflow\/)\n- [Graphs and Functions](https:\/\/www.geeksforgeeks.org\/deep-learning\/graphs-and-functions-in-tensorflow\/)\n- [Bitwise Operations](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensor-bitwise-operations\/)\n- [Numerical Operations](https:\/\/www.geeksforgeeks.org\/deep-learning\/numerical-operations-in-tensorflow\/)\n- [Sequential Model](https:\/\/www.geeksforgeeks.org\/javascript\/tensorflow-js-tf-sequential-function\/)\n- [Functional API](https:\/\/www.geeksforgeeks.org\/data-science\/tf-function-in-tensorflow\/)\n- [Running o CPU](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-run-tensorflow-on-cpu\/)\n- [Running o GPU](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-use-tensorflow-with-gpu-support\/)\n## Model Building and Training\nThis section explains how to create, train, evaluate and manage deep learning models.\n\n- [TensorFlow Keras API](https:\/\/www.geeksforgeeks.org\/deep-learning\/training-a-neural-network-using-keras-api-in-tensorflow\/)\n- [Neural Network Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/neural-network-layers-in-tensorflow\/)\n- [Single Layer Perceptron](https:\/\/www.geeksforgeeks.org\/python\/single-layer-perceptron-in-tensorflow\/)\n- [Multi-Layer Perceptron Learning](https:\/\/www.geeksforgeeks.org\/deep-learning\/multi-layer-perceptron-learning-in-tensorflow\/)\n- [Building a Neural Network](https:\/\/www.geeksforgeeks.org\/deep-learning\/implementing-neural-networks-using-tensorflow\/)\n- [Activation Functions](https:\/\/www.geeksforgeeks.org\/deep-learning\/activation-function-in-tensorflow\/)\n- [Loss Functions](https:\/\/www.geeksforgeeks.org\/deep-learning\/loss-function-in-tensorflow\/)\n- [Optimizers](https:\/\/www.geeksforgeeks.org\/deep-learning\/optimizers-in-tensorflow\/)\n- [Backpropagation](https:\/\/www.geeksforgeeks.org\/deep-learning\/back-propagation-with-tensorflow\/)\n- [Gradient Descent](https:\/\/www.geeksforgeeks.org\/python\/gradient-descent-optimization-in-tensorflow\/)\n- [model.evaluate()](https:\/\/www.geeksforgeeks.org\/deep-learning\/model-evaluate-in-tensorflow\/)\n- [model.fit()](https:\/\/www.geeksforgeeks.org\/deep-learning\/model-fit-in-tensorflow\/)\n- [Evaluation Metrics](https:\/\/www.geeksforgeeks.org\/deep-learning\/evaluation-metrics-in-tensorflow\/)\n- [Saving and Loading Models](https:\/\/www.geeksforgeeks.org\/machine-learning\/save-and-load-models-in-tensorflow\/)\n- [Callbacks](https:\/\/www.geeksforgeeks.org\/deep-learning\/tf-keras-callbacks-callback-tensorflow-callbacks\/)\n- [Visualizing Training Progress](https:\/\/www.geeksforgeeks.org\/deep-learning\/how-to-visualize-training-progress-in-tensorflow\/)\n## ****Natural Language Processing (NLP)****\nThis section covers how TensorFlow is used to process and model text data for language-based tasks.\n\n- [Text Preprocessing](https:\/\/www.geeksforgeeks.org\/deep-learning\/tensorflow-for-nlu-and-text-processing\/)\n- [TF-IDF Representations](https:\/\/www.geeksforgeeks.org\/nlp\/tf-idf-representations-in-tensorflow\/)\n- [Bag-of-Words Representations](https:\/\/www.geeksforgeeks.org\/deep-learning\/bag-of-words-representations-in-tensorflow\/)\n- [Recurrent Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/recurrent-layers-in-tensorflow\/)\n- [Recurrent Neural Networks (RNN)](https:\/\/www.geeksforgeeks.org\/deep-learning\/training-of-recurrent-neural-networks-rnn-in-tensorflow\/)\n- [Attention Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/attention-layers-in-tensorflow\/)\n- [Transformer Model](https:\/\/www.geeksforgeeks.org\/deep-learning\/transformer-model-from-scratch-using-tensorflow\/)\n- [Text Classification Using RNNs](https:\/\/www.geeksforgeeks.org\/nlp\/rnn-for-text-classifications-in-nlp\/)\n- [Text Generation using LSTM](https:\/\/www.geeksforgeeks.org\/machine-learning\/text-generation-using-recurrent-long-short-term-memory-network\/)\n- [Text Generation using GRU](https:\/\/www.geeksforgeeks.org\/machine-learning\/ml-text-generation-using-gated-recurrent-unit-networks\/)\n- [Time Series Forecasting](https:\/\/www.geeksforgeeks.org\/deep-learning\/time-series-forecasting-using-tensorflow\/)\n- [Detecting Spam Emails](https:\/\/www.geeksforgeeks.org\/nlp\/detecting-spam-emails-using-tensorflow-in-python\/)\n- [Sentence Autocomplete](https:\/\/www.geeksforgeeks.org\/deep-learning\/sentence-autocomplete-using-tensorflow-from-scratch\/)\n## Computer Vision\nThis section explains how TensorFlow is used to build models for processing and analyzing images and visual data.\n\n- [Convolution Layers](https:\/\/www.geeksforgeeks.org\/deep-learning\/convolutional-layers-in-tensorflow\/)\n- [Convolutional Neural Network (CNN)](https:\/\/www.geeksforgeeks.org\/deep-learning\/convolutional-neural-network-cnn-in-tensorflow\/)\n- [Image Classifications](https:\/\/www.geeksforgeeks.org\/deep-learning\/cifar-10-image-classification-in-tensorflow\/)\n- [Object Detection](https:\/\/www.geeksforgeeks.org\/computer-vision\/object-detection-using-tensorflow\/)\n- [FaceMask Detection](https:\/\/www.geeksforgeeks.org\/deep-learning\/facemask-detection-using-tensorflow-in-python\/)\n- [Image Generation using GANs](https:\/\/www.geeksforgeeks.org\/computer-vision\/image-generation-using-generative-adversarial-networks-gans\/)\n## ****Applications of TensorFlow****\n- Highly scalable for large ML systems\n- Production-ready deployment tools\n- Strong ecosystem for research and industry\n\nComment\n\n[P](https:\/\/www.geeksforgeeks.org\/user\/pawan_kumar_gunjan\/)\n\n[pawan\\_kumar\\_gunjan](https:\/\/www.geeksforgeeks.org\/user\/pawan_kumar_gunjan\/)\n\nArticle Tags:\n\n[Deep Learning](https:\/\/www.geeksforgeeks.org\/category\/ai-ml-ds\/deep-learning\/)\n\n[AI-ML-DS](https:\/\/www.geeksforgeeks.org\/category\/ai-ml-ds\/)\n\n[Python-Tensorflow](https:\/\/www.geeksforgeeks.org\/tag\/python-tensorflow\/)\n\n[Tutorials](https:\/\/www.geeksforgeeks.org\/tag\/tutorials\/)\n\n[\\+1 More]()\n### Explore","meta_canonical":null}

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Boilerpipe Text	Courses Tutorials Interview Prep DSA Practice Problems C C++ Java Python JavaScript Data Science Machine Learning Courses Last Updated : 26 Feb, 2026 TensorFlow is an open-source machine-learning framework developed by Google. It provides flexible tools to create neural networks for tasks such as classification, computer vision and natural language processing. It is highly scalable for both research and production. It supports CPUs, GPUs, and TPUs for faster computation. Previous Pause Next 2 / 4 Introduction This section provides a brief overview of TensorFlow and its importance in machine learning and deep learning. Introduction TensorFlow Architecture of TensorFlow Installations in macOS Installations in Windows Installations in Linux TensorFlow vs PyTorch TensorFlow vs Keras Basics This section covers the fundamental concepts required to start building and working with tensors and models. Tensor Tensor Indexing Tensor Reshaping Tensor Broadcasting Ragged Tensors Sparse Tensors String Tensors Variables Automatic Differentiation Graphs and Functions Bitwise Operations Numerical Operations Sequential Model Functional API Running o CPU Running o GPU Model Building and Training This section explains how to create, train, evaluate and manage deep learning models. TensorFlow Keras API Neural Network Layers Single Layer Perceptron Multi-Layer Perceptron Learning Building a Neural Network Activation Functions Loss Functions Optimizers Backpropagation Gradient Descent model.evaluate() model.fit() Evaluation Metrics Saving and Loading Models Callbacks Visualizing Training Progress Natural Language Processing (NLP) This section covers how TensorFlow is used to process and model text data for language-based tasks. Text Preprocessing TF-IDF Representations Bag-of-Words Representations Recurrent Layers Recurrent Neural Networks (RNN) Attention Layers Transformer Model Text Classification Using RNNs Text Generation using LSTM Text Generation using GRU Time Series Forecasting Detecting Spam Emails Sentence Autocomplete Computer Vision This section explains how TensorFlow is used to build models for processing and analyzing images and visual data. Convolution Layers Convolutional Neural Network (CNN) Image Classifications Object Detection FaceMask Detection Image Generation using GANs Applications of TensorFlow Highly scalable for large ML systems Production-ready deployment tools Strong ecosystem for research and industry Comment P pawan_kumar_gunjan Article Tags: Deep Learning AI-ML-DS Python-Tensorflow Tutorials +1 More Explore Deep Learning Basics Introduction to Deep Learning 6 min read Artificial intelligence vs Machine Learning vs Deep Learning 3 min read Deep Learning Examples: Practical Applications in Real Life 3 min read Challenges in Deep Learning 7 min read Why Deep Learning is Important 5 min read Neural Networks Basics What is a Neural Network? 10 min read Types of Neural Networks 7 min read Layers in Artificial Neural Networks (ANN) 4 min read Activation functions in Neural Networks 7 min read Feedforward Neural Network 6 min read Backpropagation in Neural Network 9 min read Deep Learning Models Convolutional Neural Network (CNN) in Deep Learning 5 min read Introduction to Recurrent Neural Networks 10 min read What is LSTM - Long Short Term Memory? 5 min read Gated Recurrent Unit Networks 6 min read Transformers in Machine Learning 5 min read Autoencoders in Machine Learning 7 min read Generative Adversarial Network (GAN) 10 min read Deep Learning Frameworks TensorFlow Tutorial 2 min read PyTorch Tutorial 5 min read Caffe : Deep Learning Framework 8 min read Apache MXNet - Deep Learning Framework 4 min read Theano in Python 4 min read Model Evaluation Gradient Descent Algorithm in Machine Learning 13 min read Momentum-based Gradient Optimizer - ML 4 min read Adagrad Optimizer in Deep Learning 6 min read RMSProp Optimizer in Deep Learning 5 min read What is Adam Optimizer? 4 min read Deep Learning Projects Lung Cancer Detection using Convolutional Neural Network (CNN) 7 min read Cat & Dog Classification using Convolutional Neural Network in Python 5 min read Sentiment Analysis with an Recurrent Neural Networks (RNN) 5 min read Text Generation using Recurrent Long Short Term Memory Network 4 min read Machine Translation with Transformer in Python 6 min read Deep Learning Interview Questions 15+ min read
Markdown	[![geeksforgeeks](https://media.geeksforgeeks.org/gfg-gg-logo.svg)](https://www.geeksforgeeks.org/) ![search icon](https://media.geeksforgeeks.org/auth-dashboard-uploads/Property=Light---Default.svg) - Sign In - [Courses]() - [Tutorials]() - [Interview Prep]() - [DSA](https://www.geeksforgeeks.org/dsa/dsa-tutorial-learn-data-structures-and-algorithms/) - [Practice Problems](https://www.geeksforgeeks.org/explore) - [C](https://www.geeksforgeeks.org/c/c-programming-language/) - [C++](https://www.geeksforgeeks.org/cpp/c-plus-plus/) - [Java](https://www.geeksforgeeks.org/java/java/) - [Python](https://www.geeksforgeeks.org/python/python-programming-language-tutorial/) - [JavaScript](https://www.geeksforgeeks.org/javascript/javascript-tutorial/) - [Data Science](https://www.geeksforgeeks.org/data-science/data-science-for-beginners/) - [Machine Learning](https://www.geeksforgeeks.org/machine-learning/machine-learning/) - [Courses](https://www.geeksforgeeks.org/courses) # TensorFlow Tutorial Last Updated : 26 Feb, 2026 TensorFlow is an open-source machine-learning framework developed by Google. It provides flexible tools to create neural networks for tasks such as classification, computer vision and natural language processing. - It is highly scalable for both research and production. - It supports CPUs, GPUs, and TPUs for faster computation. ![tensor\_in\_tensorflow.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp)![tensor\_in\_tensorflow.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp) ![neural\_network\_in\_tensorflow\_.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517623929/neural_network_in_tensorflow_.webp)![neural\_network\_in\_tensorflow\_.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517623929/neural_network_in_tensorflow_.webp) ![tensorflow\_for\_nlp.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517251159/tensorflow_for_nlp.webp)![tensorflow\_for\_nlp.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517251159/tensorflow_for_nlp.webp) ![tensorflow\_for\_computer\_vision.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp)![tensorflow\_for\_computer\_vision.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp) 2 / 4 ## Introduction This section provides a brief overview of TensorFlow and its importance in machine learning and deep learning. - [Introduction TensorFlow](https://www.geeksforgeeks.org/python/introduction-to-tensorflow/) - [Architecture of TensorFlow](https://www.geeksforgeeks.org/python/architecture-of-tensorflow/) - [Installations in macOS](https://www.geeksforgeeks.org/python/install-tensorflow-on-macos/) - [Installations in Windows](https://www.geeksforgeeks.org/python/how-to-install-python-tensorflow-in-windows/) - [Installations in Linux](https://www.geeksforgeeks.org/python/install-tensorflow-on-linux/) - [TensorFlow vs PyTorch](https://www.geeksforgeeks.org/python/difference-between-pytorch-and-tensorflow/) - [TensorFlow vs Keras](https://www.geeksforgeeks.org/machine-learning/difference-between-tensorflow-and-keras/) ## Basics This section covers the fundamental concepts required to start building and working with tensors and models. - [Tensor](https://www.geeksforgeeks.org/deep-learning/what-is-tensor-and-tensor-shapes/) - [Tensor Indexing](https://www.geeksforgeeks.org/deep-learning/tensor-indexing-in-tensorflow/) - [Tensor Reshaping](https://www.geeksforgeeks.org/deep-learning/how-to-reshape-a-tensor-in-tensorflow/) - [Tensor Broadcasting](https://www.geeksforgeeks.org/deep-learning/tensor-broadcasting/) - [Ragged Tensors](https://www.geeksforgeeks.org/deep-learning/ragged-tensors-in-tensorflow/) - [Sparse Tensors](https://www.geeksforgeeks.org/deep-learning/sparse-tensors-in-tensorflow/) - [String Tensors](https://www.geeksforgeeks.org/machine-learning/string-tensors-in-tensorflow/) - [Variables](https://www.geeksforgeeks.org/python/variables-in-tensorflow/) - [Automatic Differentiation](https://www.geeksforgeeks.org/deep-learning/automatic-differentiation-in-tensorflow/) - [Graphs and Functions](https://www.geeksforgeeks.org/deep-learning/graphs-and-functions-in-tensorflow/) - [Bitwise Operations](https://www.geeksforgeeks.org/deep-learning/tensor-bitwise-operations/) - [Numerical Operations](https://www.geeksforgeeks.org/deep-learning/numerical-operations-in-tensorflow/) - [Sequential Model](https://www.geeksforgeeks.org/javascript/tensorflow-js-tf-sequential-function/) - [Functional API](https://www.geeksforgeeks.org/data-science/tf-function-in-tensorflow/) - [Running o CPU](https://www.geeksforgeeks.org/deep-learning/how-to-run-tensorflow-on-cpu/) - [Running o GPU](https://www.geeksforgeeks.org/deep-learning/how-to-use-tensorflow-with-gpu-support/) ## Model Building and Training This section explains how to create, train, evaluate and manage deep learning models. - [TensorFlow Keras API](https://www.geeksforgeeks.org/deep-learning/training-a-neural-network-using-keras-api-in-tensorflow/) - [Neural Network Layers](https://www.geeksforgeeks.org/deep-learning/neural-network-layers-in-tensorflow/) - [Single Layer Perceptron](https://www.geeksforgeeks.org/python/single-layer-perceptron-in-tensorflow/) - [Multi-Layer Perceptron Learning](https://www.geeksforgeeks.org/deep-learning/multi-layer-perceptron-learning-in-tensorflow/) - [Building a Neural Network](https://www.geeksforgeeks.org/deep-learning/implementing-neural-networks-using-tensorflow/) - [Activation Functions](https://www.geeksforgeeks.org/deep-learning/activation-function-in-tensorflow/) - [Loss Functions](https://www.geeksforgeeks.org/deep-learning/loss-function-in-tensorflow/) - [Optimizers](https://www.geeksforgeeks.org/deep-learning/optimizers-in-tensorflow/) - [Backpropagation](https://www.geeksforgeeks.org/deep-learning/back-propagation-with-tensorflow/) - [Gradient Descent](https://www.geeksforgeeks.org/python/gradient-descent-optimization-in-tensorflow/) - [model.evaluate()](https://www.geeksforgeeks.org/deep-learning/model-evaluate-in-tensorflow/) - [model.fit()](https://www.geeksforgeeks.org/deep-learning/model-fit-in-tensorflow/) - [Evaluation Metrics](https://www.geeksforgeeks.org/deep-learning/evaluation-metrics-in-tensorflow/) - [Saving and Loading Models](https://www.geeksforgeeks.org/machine-learning/save-and-load-models-in-tensorflow/) - [Callbacks](https://www.geeksforgeeks.org/deep-learning/tf-keras-callbacks-callback-tensorflow-callbacks/) - [Visualizing Training Progress](https://www.geeksforgeeks.org/deep-learning/how-to-visualize-training-progress-in-tensorflow/) ## **Natural Language Processing (NLP) This section covers how TensorFlow is used to process and model text data for language-based tasks. - [Text Preprocessing](https://www.geeksforgeeks.org/deep-learning/tensorflow-for-nlu-and-text-processing/) - [TF-IDF Representations](https://www.geeksforgeeks.org/nlp/tf-idf-representations-in-tensorflow/) - [Bag-of-Words Representations](https://www.geeksforgeeks.org/deep-learning/bag-of-words-representations-in-tensorflow/) - [Recurrent Layers](https://www.geeksforgeeks.org/deep-learning/recurrent-layers-in-tensorflow/) - [Recurrent Neural Networks (RNN)](https://www.geeksforgeeks.org/deep-learning/training-of-recurrent-neural-networks-rnn-in-tensorflow/) - [Attention Layers](https://www.geeksforgeeks.org/deep-learning/attention-layers-in-tensorflow/) - [Transformer Model](https://www.geeksforgeeks.org/deep-learning/transformer-model-from-scratch-using-tensorflow/) - [Text Classification Using RNNs](https://www.geeksforgeeks.org/nlp/rnn-for-text-classifications-in-nlp/) - [Text Generation using LSTM](https://www.geeksforgeeks.org/machine-learning/text-generation-using-recurrent-long-short-term-memory-network/) - [Text Generation using GRU](https://www.geeksforgeeks.org/machine-learning/ml-text-generation-using-gated-recurrent-unit-networks/) - [Time Series Forecasting](https://www.geeksforgeeks.org/deep-learning/time-series-forecasting-using-tensorflow/) - [Detecting Spam Emails](https://www.geeksforgeeks.org/nlp/detecting-spam-emails-using-tensorflow-in-python/) - [Sentence Autocomplete](https://www.geeksforgeeks.org/deep-learning/sentence-autocomplete-using-tensorflow-from-scratch/) ## Computer Vision This section explains how TensorFlow is used to build models for processing and analyzing images and visual data. - [Convolution Layers](https://www.geeksforgeeks.org/deep-learning/convolutional-layers-in-tensorflow/) - [Convolutional Neural Network (CNN)](https://www.geeksforgeeks.org/deep-learning/convolutional-neural-network-cnn-in-tensorflow/) - [Image Classifications](https://www.geeksforgeeks.org/deep-learning/cifar-10-image-classification-in-tensorflow/) - [Object Detection](https://www.geeksforgeeks.org/computer-vision/object-detection-using-tensorflow/) - [FaceMask Detection](https://www.geeksforgeeks.org/deep-learning/facemask-detection-using-tensorflow-in-python/) - [Image Generation using GANs](https://www.geeksforgeeks.org/computer-vision/image-generation-using-generative-adversarial-networks-gans/) ## Applications of TensorFlow** - Highly scalable for large ML systems - Production-ready deployment tools - Strong ecosystem for research and industry Comment [P](https://www.geeksforgeeks.org/user/pawan_kumar_gunjan/) [pawan\_kumar\_gunjan](https://www.geeksforgeeks.org/user/pawan_kumar_gunjan/) 14 Article Tags: Article Tags: [Deep Learning](https://www.geeksforgeeks.org/category/ai-ml-ds/deep-learning/) [AI-ML-DS](https://www.geeksforgeeks.org/category/ai-ml-ds/) [Python-Tensorflow](https://www.geeksforgeeks.org/tag/python-tensorflow/) [Tutorials](https://www.geeksforgeeks.org/tag/tutorials/) [AI-ML-DS With Python](https://www.geeksforgeeks.org/tag/ai-ml-ds-python/) [\+1 More]() ### Explore [![GeeksforGeeks](https://media.geeksforgeeks.org/auth-dashboard-uploads/gfgFooterLogo.png)](https://www.geeksforgeeks.org/) ![location](https://media.geeksforgeeks.org/img-practice/Location-1685004904.svg) Corporate & Communications Address: A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305) ![location](https://media.geeksforgeeks.org/img-practice/Location-1685004904.svg) Registered Address: K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305 [![GFG App on Play Store](https://media.geeksforgeeks.org/auth-dashboard-uploads/googleplay-%281%29.png)](https://geeksforgeeksapp.page.link/gfg-app)[![GFG App on App Store](https://media.geeksforgeeks.org/auth-dashboard-uploads/appstore-%281%29.png)](https://geeksforgeeksapp.page.link/gfg-app) - 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Readable Markdown	[![geeksforgeeks](https://media.geeksforgeeks.org/gfg-gg-logo.svg)](https://www.geeksforgeeks.org/) ![search icon](https://media.geeksforgeeks.org/auth-dashboard-uploads/Property=Light---Default.svg) - [Courses]() - [Tutorials]() - [Interview Prep]() - [DSA](https://www.geeksforgeeks.org/dsa/dsa-tutorial-learn-data-structures-and-algorithms/) - [Practice Problems](https://www.geeksforgeeks.org/explore) - [C](https://www.geeksforgeeks.org/c/c-programming-language/) - [C++](https://www.geeksforgeeks.org/cpp/c-plus-plus/) - [Java](https://www.geeksforgeeks.org/java/java/) - [Python](https://www.geeksforgeeks.org/python/python-programming-language-tutorial/) - [JavaScript](https://www.geeksforgeeks.org/javascript/javascript-tutorial/) - [Data Science](https://www.geeksforgeeks.org/data-science/data-science-for-beginners/) - [Machine Learning](https://www.geeksforgeeks.org/machine-learning/machine-learning/) - [Courses](https://www.geeksforgeeks.org/courses) Last Updated : 26 Feb, 2026 TensorFlow is an open-source machine-learning framework developed by Google. It provides flexible tools to create neural networks for tasks such as classification, computer vision and natural language processing. - It is highly scalable for both research and production. - It supports CPUs, GPUs, and TPUs for faster computation. ![tensor\_in\_tensorflow.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp)![tensor\_in\_tensorflow.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp) ![neural\_network\_in\_tensorflow\_.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517623929/neural_network_in_tensorflow_.webp)![neural\_network\_in\_tensorflow\_.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517623929/neural_network_in_tensorflow_.webp) ![tensorflow\_for\_nlp.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517251159/tensorflow_for_nlp.webp)![tensorflow\_for\_nlp.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517251159/tensorflow_for_nlp.webp) ![tensorflow\_for\_computer\_vision.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp)![tensorflow\_for\_computer\_vision.webp](https://media.geeksforgeeks.org/wp-content/uploads/20260226153517504085/tensor_in_tensorflow.webp) 2 / 4 ## Introduction This section provides a brief overview of TensorFlow and its importance in machine learning and deep learning. - [Introduction TensorFlow](https://www.geeksforgeeks.org/python/introduction-to-tensorflow/) - [Architecture of TensorFlow](https://www.geeksforgeeks.org/python/architecture-of-tensorflow/) - [Installations in macOS](https://www.geeksforgeeks.org/python/install-tensorflow-on-macos/) - [Installations in Windows](https://www.geeksforgeeks.org/python/how-to-install-python-tensorflow-in-windows/) - [Installations in Linux](https://www.geeksforgeeks.org/python/install-tensorflow-on-linux/) - [TensorFlow vs PyTorch](https://www.geeksforgeeks.org/python/difference-between-pytorch-and-tensorflow/) - [TensorFlow vs Keras](https://www.geeksforgeeks.org/machine-learning/difference-between-tensorflow-and-keras/) ## Basics This section covers the fundamental concepts required to start building and working with tensors and models. - [Tensor](https://www.geeksforgeeks.org/deep-learning/what-is-tensor-and-tensor-shapes/) - [Tensor Indexing](https://www.geeksforgeeks.org/deep-learning/tensor-indexing-in-tensorflow/) - [Tensor Reshaping](https://www.geeksforgeeks.org/deep-learning/how-to-reshape-a-tensor-in-tensorflow/) - [Tensor Broadcasting](https://www.geeksforgeeks.org/deep-learning/tensor-broadcasting/) - [Ragged Tensors](https://www.geeksforgeeks.org/deep-learning/ragged-tensors-in-tensorflow/) - [Sparse Tensors](https://www.geeksforgeeks.org/deep-learning/sparse-tensors-in-tensorflow/) - [String Tensors](https://www.geeksforgeeks.org/machine-learning/string-tensors-in-tensorflow/) - [Variables](https://www.geeksforgeeks.org/python/variables-in-tensorflow/) - [Automatic Differentiation](https://www.geeksforgeeks.org/deep-learning/automatic-differentiation-in-tensorflow/) - [Graphs and Functions](https://www.geeksforgeeks.org/deep-learning/graphs-and-functions-in-tensorflow/) - [Bitwise Operations](https://www.geeksforgeeks.org/deep-learning/tensor-bitwise-operations/) - [Numerical Operations](https://www.geeksforgeeks.org/deep-learning/numerical-operations-in-tensorflow/) - [Sequential Model](https://www.geeksforgeeks.org/javascript/tensorflow-js-tf-sequential-function/) - [Functional API](https://www.geeksforgeeks.org/data-science/tf-function-in-tensorflow/) - [Running o CPU](https://www.geeksforgeeks.org/deep-learning/how-to-run-tensorflow-on-cpu/) - [Running o GPU](https://www.geeksforgeeks.org/deep-learning/how-to-use-tensorflow-with-gpu-support/) ## Model Building and Training This section explains how to create, train, evaluate and manage deep learning models. - [TensorFlow Keras API](https://www.geeksforgeeks.org/deep-learning/training-a-neural-network-using-keras-api-in-tensorflow/) - [Neural Network Layers](https://www.geeksforgeeks.org/deep-learning/neural-network-layers-in-tensorflow/) - [Single Layer Perceptron](https://www.geeksforgeeks.org/python/single-layer-perceptron-in-tensorflow/) - [Multi-Layer Perceptron Learning](https://www.geeksforgeeks.org/deep-learning/multi-layer-perceptron-learning-in-tensorflow/) - [Building a Neural Network](https://www.geeksforgeeks.org/deep-learning/implementing-neural-networks-using-tensorflow/) - [Activation Functions](https://www.geeksforgeeks.org/deep-learning/activation-function-in-tensorflow/) - [Loss Functions](https://www.geeksforgeeks.org/deep-learning/loss-function-in-tensorflow/) - [Optimizers](https://www.geeksforgeeks.org/deep-learning/optimizers-in-tensorflow/) - [Backpropagation](https://www.geeksforgeeks.org/deep-learning/back-propagation-with-tensorflow/) - [Gradient Descent](https://www.geeksforgeeks.org/python/gradient-descent-optimization-in-tensorflow/) - [model.evaluate()](https://www.geeksforgeeks.org/deep-learning/model-evaluate-in-tensorflow/) - [model.fit()](https://www.geeksforgeeks.org/deep-learning/model-fit-in-tensorflow/) - [Evaluation Metrics](https://www.geeksforgeeks.org/deep-learning/evaluation-metrics-in-tensorflow/) - [Saving and Loading Models](https://www.geeksforgeeks.org/machine-learning/save-and-load-models-in-tensorflow/) - [Callbacks](https://www.geeksforgeeks.org/deep-learning/tf-keras-callbacks-callback-tensorflow-callbacks/) - [Visualizing Training Progress](https://www.geeksforgeeks.org/deep-learning/how-to-visualize-training-progress-in-tensorflow/) ## **Natural Language Processing (NLP) This section covers how TensorFlow is used to process and model text data for language-based tasks. - [Text Preprocessing](https://www.geeksforgeeks.org/deep-learning/tensorflow-for-nlu-and-text-processing/) - [TF-IDF Representations](https://www.geeksforgeeks.org/nlp/tf-idf-representations-in-tensorflow/) - [Bag-of-Words Representations](https://www.geeksforgeeks.org/deep-learning/bag-of-words-representations-in-tensorflow/) - [Recurrent Layers](https://www.geeksforgeeks.org/deep-learning/recurrent-layers-in-tensorflow/) - [Recurrent Neural Networks (RNN)](https://www.geeksforgeeks.org/deep-learning/training-of-recurrent-neural-networks-rnn-in-tensorflow/) - [Attention Layers](https://www.geeksforgeeks.org/deep-learning/attention-layers-in-tensorflow/) - [Transformer Model](https://www.geeksforgeeks.org/deep-learning/transformer-model-from-scratch-using-tensorflow/) - [Text Classification Using RNNs](https://www.geeksforgeeks.org/nlp/rnn-for-text-classifications-in-nlp/) - [Text Generation using LSTM](https://www.geeksforgeeks.org/machine-learning/text-generation-using-recurrent-long-short-term-memory-network/) - [Text Generation using GRU](https://www.geeksforgeeks.org/machine-learning/ml-text-generation-using-gated-recurrent-unit-networks/) - [Time Series Forecasting](https://www.geeksforgeeks.org/deep-learning/time-series-forecasting-using-tensorflow/) - [Detecting Spam Emails](https://www.geeksforgeeks.org/nlp/detecting-spam-emails-using-tensorflow-in-python/) - [Sentence Autocomplete](https://www.geeksforgeeks.org/deep-learning/sentence-autocomplete-using-tensorflow-from-scratch/) ## Computer Vision This section explains how TensorFlow is used to build models for processing and analyzing images and visual data. - [Convolution Layers](https://www.geeksforgeeks.org/deep-learning/convolutional-layers-in-tensorflow/) - [Convolutional Neural Network (CNN)](https://www.geeksforgeeks.org/deep-learning/convolutional-neural-network-cnn-in-tensorflow/) - [Image Classifications](https://www.geeksforgeeks.org/deep-learning/cifar-10-image-classification-in-tensorflow/) - [Object Detection](https://www.geeksforgeeks.org/computer-vision/object-detection-using-tensorflow/) - [FaceMask Detection](https://www.geeksforgeeks.org/deep-learning/facemask-detection-using-tensorflow-in-python/) - [Image Generation using GANs](https://www.geeksforgeeks.org/computer-vision/image-generation-using-generative-adversarial-networks-gans/) ## Applications of TensorFlow** - Highly scalable for large ML systems - Production-ready deployment tools - Strong ecosystem for research and industry Comment [P](https://www.geeksforgeeks.org/user/pawan_kumar_gunjan/) [pawan\_kumar\_gunjan](https://www.geeksforgeeks.org/user/pawan_kumar_gunjan/) Article Tags: [Deep Learning](https://www.geeksforgeeks.org/category/ai-ml-ds/deep-learning/) [AI-ML-DS](https://www.geeksforgeeks.org/category/ai-ml-ds/) [Python-Tensorflow](https://www.geeksforgeeks.org/tag/python-tensorflow/) [Tutorials](https://www.geeksforgeeks.org/tag/tutorials/) [\+1 More]() ### Explore
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