整理：PyTorch1.0 教程、例子和书籍

太过爱你忘了你带给我的痛 2022-04-03 09:07 545阅读 0赞

> 学习PyTorch过程中整理的一些代码和电子书等，可能还有些乱，最新版见：[github link][]

# PyTorch tutorials, examples and books #

Table of Contents:

*  PyTorch tutorials, examples and books
    
     *  PyTorch 1.0 tutorials and examples
     *  Books and slides about PyTorch (some of these are old version)
     *  \[[PyTorch-Zero-To-All-\[PyTorch1.0\]][PyTorch-Zero-To-All-_PyTorch1.0]\](\#pytorch-zero-to-all-pytorch10httpsgithubcombat67pytorch-tutorials-examples-and-bookstreemasterpytorch-zero-to-all-5bpytorch105d)
     *  how to run?

## PyTorch 1.0 tutorials and examples ##

*  [PyTorch-basics PyTorch基础][PyTorch-basics PyTorch]
 *  [Linear-regression 线性回归][Linear-regression]
 *  [Logistic-regression Logistic 回归][Logistic-regression Logistic]
 *  [optimizer 优化器][optimizer]
 *  [neural-network 神经网络][neural-network]
 *  [convolutional-neural-network(CNN) 卷积神经网络][convolutional-neural-network_CNN_]
 *  [famous-CNN 经典的CNN网络][famous-CNN _CNN]
 *  [Using Pretrained models 使用预训练的模型][Using Pretrained models]
 *  [Dataset-and-Dataloader 自定义数据读取][Dataset-and-Dataloader]
 *  [custom-dataset-example 定义自己的数据集][custom-dataset-example]
 *  [visdom-visualization visdom可视化][visdom-visualization visdom]
 *  [tensorboard-visualization tensorboard可视化][tensorboard-visualization tensorboard]
 *  [semantic-segmentation 语义分割][semantic-segmentation]

## [Books and slides about PyTorch (some of these are old version)][Books and slides about PyTorch _some of these are old version] ##

*  Deep Learning Toolkits II pytorch example
 *  PyTorch 1.0 Bringing research and production together Presentation
 *  Deep Learning with PyTorch - Packet Vishnu Subramanian
 *  PyTorch深度学习实战 - 侯宜军
 *  深度学习之Pytorch - 廖星宇
 *  深度学习之PyTorch实战计算机视觉 - 唐进民
 *  pytorch卷积、反卷积 - download from internet
 *  A brief summary of the PTDC ’18 PyTorch 1.0 Preview and Promise - Hacker Noon
 *  PyTorch\_tutorial\_0.0.4\_余霆嵩

## [PyTorch-Zero-To-All-\[PyTorch1.0\]][PyTorch-Zero-To-All-_PyTorch1.0] ##

*  Slides-newest from Google Drive

## how to run? ##

Some code in this repo is separated in blocks using `#%%`.  
A block is as same as a cell in `Jupyter Notebook`. So editors/IDEs supporting this functionality is recommanded.

Such as:

*  VScode with [Microsoft Python extension][]
 *  [Spyder][] or [Anaconda][]
 *  [PyCharm][]

[github link]: https://github.com/bat67/pytorch-tutorials-examples-and-books
[PyTorch-Zero-To-All-_PyTorch1.0]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch-Zero-To-All-%5BPyTorch1.0%5D
[PyTorch-basics PyTorch]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch-basics%20PyTorch%E5%9F%BA%E7%A1%80
[Linear-regression]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Linear-regression%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92
[Logistic-regression Logistic]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Logistic-regression%20Logistic%20%E5%9B%9E%E5%BD%92
[optimizer]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/optimizer%20%E4%BC%98%E5%8C%96
[neural-network]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/neural-network%20%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C
[convolutional-neural-network_CNN_]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/convolutional-neural-network%28CNN%29%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C
[famous-CNN _CNN]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/famous-CNN%20%E7%BB%8F%E5%85%B8%E7%9A%84CNN%E7%BD%91%E7%BB%9C
[Using Pretrained models]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Using%20Pretrained%20models%20%E4%BD%BF%E7%94%A8%E9%A2%84%E8%AE%AD%E7%BB%83%E7%9A%84%E6%A8%A1%E5%9E%8B
[Dataset-and-Dataloader]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Dataset-and-Dataloader
[custom-dataset-example]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/custom-dataset-example%20%E5%AE%9A%E4%B9%89%E8%87%AA%E5%B7%B1%E7%9A%84%E6%95%B0%E6%8D%AE%E9%9B%86
[visdom-visualization visdom]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/visdom-visualization%20visdom%E5%8F%AF%E8%A7%86%E5%8C%96
[tensorboard-visualization tensorboard]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/tensorboard-visualization%20tensorboard%E5%8F%AF%E8%A7%86%E5%8C%96
[semantic-segmentation]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/semantic-segmentation%20%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2
[Books and slides about PyTorch _some of these are old version]: https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/books-and-slides
[Microsoft Python extension]: https://marketplace.visualstudio.com/items?itemName=ms-python.python
[Spyder]: https://pypi.org/project/spyder/
[Anaconda]: https://www.anaconda.com/
[PyCharm]: https://www.jetbrains.com/pycharm/