【導讀】TensorFlow 中文資源全集，學習路徑推薦：
官方網站，初步了解。
安裝教程，安裝之後跑起來。
入門教程，簡單的模型學習和運行。
實戰項目，根據自己的需求進行開發。
https://gitee.com/fendouai/Awesome-TensorFlow-Chinese
很多內容下面這個英文項目:
Inspired by https://github.com/jtoy/awesome-tensorflow
官方網站官網:https://www.tensorflow.org/
中文:https://tensorflow.google.cn/
GitHub:https://github.com/tensorflow
安裝教程中文安裝教程Mac安裝:http://www.cnblogs.com/tensorflownews/p/7298646.html
ubuntu 16.04 安裝 tensorflow-gpu:http://www.tensorflownews.com/2017/09/02/tensorflow-gpu-install-ubuntu-16-04/
極客學院教程:http://wiki.jikexueyuan.com/project/tensorflow-zh/get_started/os_setup.html
官方安裝教程（建議用官方教程，現在官網可以直接訪問了。）Mac:https://tensorflow.google.cn/install/install_mac
Windows:https://tensorflow.google.cn/install/install_windows
Linux:https://tensorflow.google.cn/install/install_linux
入門教程官方入門教程開始學習:
https://tensorflow.google.cn/get_started/
MNIST 針對初學者的字體識別:
https://tensorflow.google.cn/get_started/mnist/beginners
MNIST 針對專業的深度字體識別:
https://tensorflow.google.cn/get_started/mnist/pros
入門教程極客學院:
http://wiki.jikexueyuan.com/project/tensorflow-zh/
大U的技術課堂:
https://zhuanlan.zhihu.com/p/22410917
TensorFlowNews:
https://zhuanlan.zhihu.com/TensorFlownews
實戰項目官方實戰項目Models built with TensorFlowMagenta: Music and Art Generation with Machine IntelligenceTensorFlow Neural Machine Translation Tutorial書籍（推薦）Deep Learning http://www.tensorflownews.com/2017/08/29/deep-learning-an-mit-press-book
Deep Learning 中文翻譯 http://www.tensorflownews.com/2017/08/29/deep-learning-book-chinese-translation/
社區群組QQ群522785813
微信群微信群二維碼有效期太短了，我博客保持更新。
http://www.tensorflownews.com/
我系統的學習了兩個月之後做的幾個項目。TensorFlow 卷積神經網絡 Model Project:FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人臉打分基於 TensorFlow (新增 Keras 版本) 的 CNN 模型（可能是最有趣的 TensorFlow 中文入門實戰項目）
https://github.com/fendouai/FaceRank
TensorFlow 循環神經網絡 Model Project:一個比特幣交易機器人基於 Tensorflow LSTM 模型，僅供娛樂。 A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.
https://github.com/TensorFlowNews/TensorFlow-Bitcoin-Robot
TensorFlow Seq2Seq Model Project:ChatGirl is an AI ChatBot based on TensorFlow Seq2Seq Model.ChatGirl 一個基於 TensorFlow Seq2Seq 模型的聊天機器人。（包含預處理過的 twitter 英文數據集，訓練，運行，工具代碼，可以運行但是效果有待提高。）
https://github.com/fendouai/ChatGirl
教程TensorFlow Examples - 針對初學者的 TensorFlow 教程和代碼
TensorFlow Tutorial - 從基礎知識到有趣的 tensorflow 應用
TensorFlow Tutorial - 基於谷歌的 TensorFlow 框架介紹深度學習
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
Getting Started with TensorFlow on Android - Build your first TensorFlow Android app
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.
CS20 SI: TensorFlow for DeepLearning Research - Stanford Course about Tensorflow from 2017 - Syllabus - Unofficial Videos
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.
模型項目Domain Transfer Network - Implementation of Unsupervised Cross-Domain Image Generation
Show, Attend and Tell - Attention Based Image Caption Generator
Neural Style Implementation of 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
Deep-Q learning Pong with TensorFlow and PyGame
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 - Implementation of "Show and Tell"
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
YOLO TensorFlow ++ - TensorFlow implementation of 'YOLO: Real-Time Object Detection', with training and an actual support for real-time running on mobile devices.
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.
基於 TensorFlow 的產品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
庫tf.contrib.learn - Simplified interface for Deep/Machine Learning (now part of TensorFlow)
tensorflow.rb - TensorFlow native interface for ruby using SWIG
tflearn - Deep learning library featuring a higher-level API
TensorFlow-Slim - High-level library for defining models
TensorFrames - TensorFlow binding for Apache Spark
TensorFlowOnSpark - initiative from Yahoo! to enable distributed TensorFlow with Apache Spark.
caffe-tensorflow - Convert Caffe models to TensorFlow format
keras - Minimal, modular deep learning library for TensorFlow and Theano
SyntaxNet: Neural Models of Syntax - A TensorFlow implementation of the models described in Globally Normalized Transition-Based Neural Networks, Andor et al. (2016)
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.
視頻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
Videos from TensorFlow Silicon Valley Meet Up 1/19/2016
Videos from TensorFlow Silicon Valley Meet Up 1/21/2016
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
論文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
官方博客TensorFlow: smarter machine learning, for everyone - An introduction to TensorFlow
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.
博客文章Why TensorFlow will change the Game for AI
TensorFlow for Poets - Goes over the implementation of TensorFlow
Introduction to Scikit Flow - Simplified Interface to TensorFlow - Key Features Illustrated
Building Machine Learning Estimator in TensorFlow - Understanding the Internals of TensorFlow Learn Estimators
TensorFlow - Not Just For Deep Learning
The indico Machine Learning Team's take on TensorFlow
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
Fizz Buzz in TensorFlow - A joke by Joel Grus
RNNs In TensorFlow, A Practical Guide And Undocumented Features - Step-by-step guide with full code examples on GitHub.
Using TensorBoard to Visualize Image Classification Retraining in TensorFlow
TFRecords Guide semantic segmentation and handling the TFRecord file format.
TensorFlow Android Guide - Android TensorFlow Machine Learning Example.
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.
社區Stack Overflow
@TensorFlow on Twitter
Mailing List
書籍Machine Learning with TensorFlow by Nishant Shukla, computer vision researcher at UCLA and author of Haskell Data Analysis Cookbook. This book makes the math-heavy topic of ML approachable and practicle to a newcomer.
First Contact with TensorFlow by Jordi Torres, professor at UPC Barcelona Tech and a research manager and senior advisor at Barcelona Supercomputing Center
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
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
Hands-On Machine Learning with Scikit-Learn and TensorFlow – by Aurélien Geron, former lead of the YouTube video classification team. Covers ML fundamentals, training and deploying deep nets across multiple servers and GPUs using TensorFlow, the latest CNN, RNN and Autoencoder architectures, and Reinforcement Learning (Deep Q).
Building Machine Learning Projects with Tensorflow – by Rodolfo Bonnin. This book covers various projects in TensorFlow that expose what can be done with TensorFlow in different scenarios. The book provides projects on training models, machine learning, deep learning, and working with various neural networks. Each project is an engaging and insightful exercise that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors.
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