书籍

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• First Contact with TensorFlow
• Deep Learning with Python - Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee
• TensorFlow for Machine Intelligence - Complete guide to use TensorFlow from the basics of graph computing, to deep learning models to using it in production environments - Bleeding Edge Press
• Machine Learning with TensorFlow - heavy topic of ML approachable and practicle to a newcomer.
• Hands-On Machine Learning with Scikit-Learn and TensorFlow
• Getting Started with TensorFlow - Get up and running with the latest numerical computing library by Google and dive deeper into your data, by Giancarlo Zaccone
• Building Machine Learning Projects with Tensorflow
• TensorFlow for Machine Intelligence - Complete guide to use TensorFlow from the basics of graph computing, to deep learning models to using it in production environments - Bleeding Edge Press

博客文章

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• Why TensorFlow will change the Game for AI
• The Good, Bad, & Ugly of TensorFlow - A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff), Dan Kuster at Indico, May 9, 2016
• TFRecords Guide
• TensorFlow Optimizations on Modern Intel® Architecture - Introduces TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms based on an Intel/Google collaboration.
• The indico Machine Learning Team's take on TensorFlow
• Why TensorFlow will change the Game for AI
• TFRecords Guide

基于 TensorFlow 的产品

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• YOLO TensorFlow - Implementation of 'YOLO : Real-Time Object Detection'
• android-yolo - Real-time object detection on Android using the YOLO network, powered by TensorFlow.
• Magenta - Research project to advance the state of the art in machine intelligence for music and art generation

官方博客

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• Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source - Release of SyntaxNet, "an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding systems.
• TensorFlow: smarter machine learning, for everyone - An introduction to TensorFlow

库

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• TensorFlow-Slim - High-level library for defining models
• SyntaxNet: Neural Models of Syntax - A TensorFlow implementation of the models described in Globally Normalized Transition-Based Neural Networks, Andor et al. (2016)
• tensorflow.rb - TensorFlow native interface for ruby using SWIG
• tflearn - Deep learning library featuring a higher-level API
• TensorFlowOnSpark - initiative from Yahoo! to enable distributed TensorFlow with Apache Spark.
• caffe-tensorflow - Convert Caffe models to TensorFlow format
• keras-js - Run Keras models (tensorflow backend) in the browser, with GPU support
• NNFlow - Simple framework allowing to read-in ROOT NTuples by converting them to a Numpy array and then use them in Google Tensorflow.
• Sonnet - Sonnet is DeepMind's library built on top of TensorFlow for building complex neural networks.
• tensorpack - Neural Network Toolbox on TensorFlow focusing on training speed and on large datasets.
• TensorFrames - TensorFlow binding for Apache Spark
• tf.contrib.learn - Simplified interface for Deep/Machine Learning (now part of TensorFlow)

推荐产品

• Lynote AI Humanzier - Best AI Humanizer Free Online Tools（GitHub）

教程

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• Getting Started with TensorFlow on Android - Build your first TensorFlow Android app
• CS20 SI: TensorFlow for DeepLearning Research - Stanford Course about Tensorflow from 2017 - Syllabus - Unofficial Videos
• TensorFlow Examples - 针对初学者的 TensorFlow 教程和代码
• TensorFlow Tutorial - 从基础知识到有趣的 tensorflow 应用
• TensorFlow Tutorial - 基于谷歌的 TensorFlow 框架介绍深度学习
• Sungjoon's TensorFlow-101 - TensorFlow 教程用 Python 的 Jupyter Notebook
• Terry Um’s TensorFlow Exercises - Re-create the codes from other TensorFlow examples
• Installing TensorFlow on Raspberry Pi 3 - TensorFlow compiled and running properly on the Raspberry Pi
• Classification on time series - Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data
• Predict time series - Learn to use a seq2seq model on simple datasets as an introduction to the vast array of possibilities that this architecture offers
• Single Image Random Dot Stereograms - SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective.
• TensorFlow World - Concise and ready-to-use TensorFlow tutorials with detailed documentation are provided.
• Effective Tensorflow - Tensorflow howtos and best practices. Covers the basics as well as advanced topics.

模型项目

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• Neural Style
• Pretty Tensor - Pretty Tensor provides a high level builder API
• Neural Style - An implementation of neural style
• AlexNet3D - An implementations of AlexNet3D. Simple AlexNet model but with 3D convolutional layers (conv3d).
• TensorFlow White Paper Notes - Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
• NeuralArt - Implementation of A Neural Algorithm of Artistic Style
• Generative Handwriting Demo using TensorFlow - An attempt to implement the random handwriting generation portion of Alex Graves' paper
• Neural Turing Machine in TensorFlow - implementation of Neural Turing Machine
• GoogleNet Convolutional Neural Network Groups Movie Scenes By Setting - Search, filter, and describe videos based on objects, places, and other things that appear in them
• Neural machine translation between the writings of Shakespeare and modern English using TensorFlow - This performs a monolingual translation, going from modern English to Shakespeare and vis-versa.
• Chatbot - Implementation of "A neural conversational model"
• Colornet - Neural Network to colorize grayscale images - Neural Network to colorize grayscale images
• Neural Caption Generator with Attention - Implementation of "Show, Attend and Tell"
• Weakly_detector - Implementation of "Learning Deep Features for Discriminative Localization"
• Dynamic Capacity Networks - Implementation of "Dynamic Capacity Networks"
• HMM in TensorFlow - Implementation of viterbi and forward/backward algorithms for HMM
• DeepOSM - Train TensorFlow neural nets with OpenStreetMap features and satellite imagery.
• DQN-tensorflow - TensorFlow implementation of DeepMind's 'Human-Level Control through Deep Reinforcement Learning' with OpenAI Gym by Devsisters.com
• Highway Network - TensorFlow implementation of "Training Very Deep Networks" with a blog post
• Sentence Classification with CNN - TensorFlow implementation of "Convolutional Neural Networks for Sentence Classification" with a blog post
• End-To-End Memory Networks - Implementation of End-To-End Memory Networks
• Character-Aware Neural Language Models - TensorFlow implementation of Character-Aware Neural Language Models
• Wavenet - This is a TensorFlow implementation of the WaveNet generative neural network architecture for audio generation.
• Mnemonic Descent Method - Tensorflow implementation of "Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment"
• CNN visualization using Tensorflow - Tensorflow implementation of "Visualizing and Understanding Convolutional Networks"
• VGAN Tensorflow - Tensorflow implementation for MIT "Generating Videos with Scene Dynamics" by Vondrick et al.
• 3D Convolutional Neural Networks in TensorFlow - Implementation of "3D Convolutional Neural Networks for Speaker Verification application" in TensorFlow by Torfi et al.
• Lip Reading - Cross Audio-Visual Recognition using 3D Architectures in TensorFlow - TensorFlow Implementation of "Cross Audio-Visual Recognition in the Wild Using Deep Learning" by Torfi et al.
• Domain Transfer Network - Implementation of Unsupervised Cross-Domain Image Generation
• Show, Attend and Tell - Attention Based Image Caption Generator
• YOLO TensorFlow ++ - TensorFlow implementation of 'YOLO: Real-Time Object Detection', with training and an actual support for real-time running on mobile devices.

社区

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• @TensorFlow on Twitter
• Reddit
• Mailing List
• Stack Overflow

视频

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• TensorFlow Guide 1 - A guide to installation and use
• TensorFlow Guide 2 - Continuation of first video
• TensorFlow Basic Usage - A guide going over basic usage
• TensorFlow Deep MNIST for Experts - Goes over Deep MNIST
• TensorFlow Udacity Deep Learning - Basic steps to install TensorFlow for free on the Cloud 9 online service with 1Gb of data
• Why Google wants everyone to have access to TensorFlow
• Stanford CS224d Lecture 7 - Introduction to TensorFlow, 19th Apr 2016 - CS224d Deep Learning for Natural Language Processing by Richard Socher
• Diving into Machine Learning through TensorFlow - Pycon 2016 Portland Oregon, Slide & Code by Julia Ferraioli, Amy Unruh, Eli Bixby
• Large Scale Deep Learning with TensorFlow - Spark Summit 2016 Keynote by Jeff Dean
• Tensorflow and deep learning - without at PhD - by Martin Görner
• Tensorflow and deep learning - without at PhD, Part 2 (Google Cloud Next '17) - by Martin Görner
• Diving into Machine Learning through TensorFlow - Pycon 2016 Portland Oregon, Slide & Code by Julia Ferraioli, Amy Unruh, Eli Bixby
• Large Scale Deep Learning with TensorFlow - Spark Summit 2016 Keynote by Jeff Dean
• Stanford CS224d Lecture 7 - Introduction to TensorFlow, 19th Apr 2016 - CS224d Deep Learning for Natural Language Processing by Richard Socher
• Diving into Machine Learning through TensorFlow - Pycon 2016 Portland Oregon, Slide & Code by Julia Ferraioli, Amy Unruh, Eli Bixby
• Large Scale Deep Learning with TensorFlow - Spark Summit 2016 Keynote by Jeff Dean
• TensorFlow Guide 1 - A guide to installation and use
• TensorFlow Guide 2 - Continuation of first video
• TensorFlow Basic Usage - A guide going over basic usage
• TensorFlow Deep MNIST for Experts - Goes over Deep MNIST
• Why Google wants everyone to have access to TensorFlow

论文

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• TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems - This paper describes the TensorFlow interface and an implementation of that interface that we have built at Google
• TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning
• Comparative Study of Deep Learning Software Frameworks - The study is performed on several types of deep learning architectures and we evaluate the performance of the above frameworks when employed on a single machine for both (multi-threaded) CPU and GPU (Nvidia Titan X) settings
• Distributed TensorFlow with MPI - In this paper, we extend recently proposed Google TensorFlow for execution on large scale clusters using Message Passing Interface (MPI)
• Globally Normalized Transition-Based Neural Networks - This paper describes the models behind SyntaxNet.
• TensorFlow: A system for large-scale machine learning - This paper describes the TensorFlow dataflow model in contrast to existing systems and demonstrate the compelling performance
• TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems - This paper describes the TensorFlow interface and an implementation of that interface that we have built at Google
• Comparative Study of Deep Learning Software Frameworks - The study is performed on several types of deep learning architectures and we evaluate the performance of the above frameworks when employed on a single machine for both (multi-threaded) CPU and GPU (Nvidia Titan X) settings
• Distributed TensorFlow with MPI - In this paper, we extend recently proposed Google TensorFlow for execution on large scale clusters using Message Passing Interface (MPI)