【学习】PyTorch深度学习教程(IPN)

This repository provides tutorial code for deep learning researchers to learn PyTorch . In the tutorial, most of the models were implemented with less than 30 lines of code. Before starting this tutorial, it is recommended to finish Official Pytorch Tutorial .

Table of Contents

• PyTorch Basics

• Linear Regression

• Logistic Regression

• Feedforward Neural Network

• Convolutional Neural Network

• Deep Residual Network

• Recurrent Neural Network

• Bidirectional Recurrent Neural Network

• Language Model (RNNLM)

• Image Captioning (CNN-RNN)

• Generative Adversarial Network

• Deep Q-Network and Q-learning (WIP)

链接：

https://github.com/yunjey/pytorch-tutorial

原文链接：

http://weibo.com/1402400261/EzoIAbkvU?ref=home&rid=14_0_8_2676192180906854238&type=comment#_rnd1489308295843