Comprehensive List of Excellent TensorFlow Resources

Summary: A carefully curated list of practices, libraries, and projects related to TensorFlow. The most comprehensive on the internet!

Comprehensive List of Excellent TensorFlow Resources

What is TensorFlow?

TensorFlow is an open-source software library for numerical computation using data flow graphs. In other words, it is the best way to build deep learning models.

This article compiles an excellent list of practices, libraries, and projects related to TensorFlow.

1. Tutorials

  • TensorFlow Tutorial 1 — From basics to more interesting TensorFlow applications

  • TensorFlow Tutorial 2 — Introduction to deep learning based on Google TensorFlow framework, these tutorials are direct ports of Newmu’s Theano

  • TensorFlow Examples — TensorFlow tutorials and code examples for beginners

  • Sungjoon’s TensorFlow-101 — TensorFlow tutorials written using Python and Jupyter Notebook

  • Terry Um’s TensorFlow Exercises — Recreating code from other TensorFlow examples

  • Installing TensorFlow on Raspberry Pi 3 — Compiling and running TensorFlow correctly on Raspberry Pi

  • Classification on time series — Using LSTM in TensorFlow for recursive neural network classification of mobile sensor data

2. Models/Projects

  • Show, Attend and Tell — An image caption generator based on the attention mechanism (the attention mechanism is one of the cutting-edge hotspots in deep learning, capable of focusing on different parts of the input one by one)

  • Neural Style — Implementation of Neural Style (Neural Style is an algorithm that re-draws an image in the painting style of an existing artwork)

  • Pretty Tensor — Pretty Tensor provides a high-level builder API

  • Neural Style — Implementation of Neural Style

  • TensorFlow White Paper Notes — Annotated notes and summaries of TensorFlow white papers, along with SVG graphics and document links

  • NeuralArt — Implementation of artistic style neural algorithms

  • Using TensorFlow and PyGame for deep reinforcement learning in ping pong

  • Generative Handwriting Demo using TensorFlow — Attempting to implement the random handwriting generation part from Alex Graves’s paper

  • Neural Turing Machine in TensorFlow — TensorFlow implementation of Neural Turing Machine

  • GoogleNet Convolutional Neural Network Groups Movie Scenes By Setting — Searching, filtering, and describing videos based on objects, locations, and other content shown

  • Neural machine translation between the writings of Shakespeare and modern English using TensorFlow — Monolingual translation, from modern English to Shakespeare and vice versa

  • Chatbot — Implementation of “a neural conversation model”

  • Colornet – Neural Network to colorize grayscale images — Coloring grayscale images using neural networks

  • Neural Caption Generator with Attention — TensorFlow implementation for image understanding

  • Weakly_detector — TensorFlow implementation of “learning deep features to distinguish localization”

  • Dynamic Capacity Networks — Implementation of “dynamic capacity networks”

  • HMM in TensorFlow — Implementation of Viterbi and forward/backward algorithms for HMM

  • DeepOSM — Training TensorFlow neural networks using OpenStreetMap features and satellite images

  • DQN-tensorflow — Implementing DeepMind’s “human-level control through deep reinforcement learning” using TensorFlow via OpenAI Gym

  • Highway Network — TensorFlow implementation of

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