Open source Software Library TensorFlow most complete tutorials and project listings _tensorflow

TensorFlow is an open source software library that uses data flow diagrams for numerical calculations. In other words, that's the best way to build a deep learning model. This article collates some excellent tutorials and a list of projects on TensorFlow.

First, the tutorial

TensorFlow Tutorial 1-from basics to more interesting tensorflow applications

TensorFlow Tutorial 2-a deep learning profile based on the Google TensorFlow framework, which is the NEWMU Theano direct port

TensorFlow tutorials and code examples for TensorFlow examples-for Beginners

TensorFlow tutorials Written by Sungjoon ' s tensorflow-101-through Python using Jupyter notebook

Terry Um ' s tensorflow exercises-to recreate code from other TensorFlow samples

Installing TensorFlow on Raspberry Pi 3-tensorflow correctly compiled and run on raspberry pie

Classification on time series-use LSTM to classify mobile sensor data in TensorFlow by recurrent neural network

II. model/Project

Show, attend and tell-Image caption Generator based on focusing mechanism (focusing mechanism "attention mechanism" is one of the hotspots of the current depth learning, and can pay attention to the different parts of input, give a series of understanding)

Implementation of the Neural style-neural style (neural style is an algorithm to redraw a picture by imitating the painting style of an existing painting)

Pretty Tensor-pretty Tensor provides an advanced builder API
The realization of neural style-neural Style

TensorFlow White Paper notes-A summary of annotated notes and TensorFlow whitepaper, as well as SVG graphics and documentation links

The realization of neuralart-artistic style neural algorithm

Use TensorFlow and pygame to deepen learning table tennis
Generative handwriting Demo using tensorflow-try to implement the random handwriting generation part of Alex Graves's thesis

TensorFlow realization of neural Turing Machine in tensorflow-neural Turing

Googlenet convolutional Neural network Groups Movie by scenes to search, filter, and describe video based on objects, locations, and other content displayed therein

Neural machine translation between the writings of Shakespeare and modern 中文版 using tensorflow-Single language translation, from Modern English to Shakespeare, and vice versa

The realization of "a neural conversation model" in chatbot-

Colornet-neural Network to colorize grayscale images-color grayscale images via neural network

TensorFlow realization of neural Caption generator with attention-image understanding

TensorFlow realization of weakly_detector-"learning deep feature to differentiate localization"

The implementation of dynamic Capacity networks-"Dynamical Capacity Network"

Implementation of Viterbi and forward/back algorithm for HMM in TENSORFLOW-HMM

Deeposm-uses OpenStreetMap function and satellite imagery to train tensorflow neural networks

Dqn-tensorflow-uses tensorflow through OpenAI Gym to realize DeepMind's "human level control through deep reinforcement learning"

TensorFlow realization of Highway network-"deep Network Training"

Sentence classification with Cnn-tensorflow to realize "sentence classification of convolution neural network"

Realization of End-to-end Memory networks-end to end memory network

TensorFlow implementation of Character-aware neural Language models-character perception Neural language model

YOLO TensorFlow ++-tensorflow implements "YOLO: real-time object detection" with the ability to train and support real-time running on mobile devices

TensorFlow implementation of wavenet-wavenet Generation neural network architecture for generating audio

Mnemonic Descent method-Mnemonic descent method: Applied to end-to-end alignment of the reproduction process

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