machinelearning_notebook/6_pytorch/README.md

# PyTorch

PyTorch是基于Python的科学计算包，其旨在服务两类场合：
* 替代numpy发挥GPU潜能
* 提供了高度灵活性和效率的深度学习平台

PyTorch的简洁设计使得它入门很简单，本部分内容在深入介绍PyTorch之前，先介绍一些PyTorch的基础知识，让大家能够对PyTorch有一个大致的了解，并能够用PyTorch搭建一个简单的神经网络，然后在深入学习如何使用PyTorch实现各类网络结构。在学习过程，可能部分内容暂时不太理解，可先不予以深究，后续的课程将会对此进行深入讲解。



![PyTorch Demo](imgs/PyTorch_demo.gif)


## References
* [code of book "Learn Deep Learning with PyTorch"](https://github.com/L1aoXingyu/code-of-learn-deep-learning-with-pytorch)
* [PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation](https://github.com/chenyuntc/pytorch-book)
* [Awesome-Pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)
* [PyTorch Tutorial for Deep Learning Researchers](https://github.com/yunjey/pytorch-tutorial)
* [The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.](https://github.com/ritchieng/the-incredible-pytorch)
* [Simple examples to introduce PyTorch](https://github.com/jcjohnson/pytorch-examples)
* [Simple PyTorch Tutorials Zero to ALL!](https://github.com/hunkim/PyTorchZeroToAll)
* [从基础概念到实现，小白如何快速入门PyTorch](https://mp.weixin.qq.com/s/zhkaenFdnB5KgaEYb-XDEQ)