kevin2018pg/pytorch-notes

This repository provides my notes code for deep learning researchers to learn PyTorch

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This repository provides my notes code for deep learning researchers to learn PyTorch.

Table of Contents

1. Basics

• PyTorch Basics
• Linear Regression
• Logistic Regression
• Feedforward Neural Network

2. Intermediate

• Convolutional Neural Network
• Deep Residual Network
• Recurrent Neural Network
• Bidirectional Recurrent Neural Network
• LSTM Network
• Language Model (RNN-LM)

3. Advanced

• Generative Adversarial Networks
• Variational Auto-Encoder
• Neural Style Transfer
• Image Captioning (CNN-RNN)

4. Utilities

• TensorBoard in PyTorch

Getting Started（Include .py and .ipynb）

$ git clone https://github.com/kevin2018pg/pytorch-notes.git
$ cd pytorch-notes/PROJECT PATH
$ python main.py

Dependencies

• Python 3.6+
• PyTorch 0.4.0+