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
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.
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.
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
Stanford CS224d Lecture 7 - Introduction to TensorFlow, 19th Apr 2016 - CS224d Deep Learning for Natural Language Processing by Richard Socher
Large Scale Deep Learning with TensorFlow - Spark Summit 2016 Keynote by Jeff Dean
Tensorflow and deep learning - without at PhD - by Martin Görner
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.