PyTorch official release tutorial, limited time free of charge!

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Heavy dry goods, the first time served

PyTorch now known as one of the most popular deep learning framework! 2019 to the end of 61 months, the paper published on arXiv.org, a reference to the number of TensorFlow and PyTorch almost the same. Compared with January 2018 to June, PyTorch an increase of 194%. In contrast, TensorFlow growth rate of only 23%.

Based PyTorch so popular, get rich PyTorch tutorial, complete PyTorch learning route can often help us do more with less!

In fact, many PyTorch tutorials and resources, but unfortunately there has been no official launch PyTorch PyTorch the authoritative guide. The good news is that in just, PyTorch released the news on the official Twitter

"In order to help developers use PyTorch, we are making" Deep Learning with PyTorch "a book."

Official authority PyTorch tutorial book has finally come out. The news was announced on gained wide attention and appreciation, Facebook's chief scientist Yann LeCun AI is transferred directly to the thrust recommended.

What book are so amazing? This is it "Deep Learning with PyTorch"!

About Books

The book is concise biggest feature is not long-winded, the book is only 141. Content easy to understand, and introduces the basic knowledge of theory PyTorch. Characterized by the use approachable way to introduce a very professional theme.

This book provides a detailed, hands-on introduction, describes the use of PyTorch build and train the neural network, PyTorch is a popular open source machine learning framework.

This " Deep Learning with PyTorch " contains a total of five chapters content.

  • The first chapter introduces depth study and library PyTorch

  • Chapter acquaintance tensor

  • The third chapter represents the real-world data with tensor

  • Chapter IV machine learning mechanism

  • Chapter V using a neural network to fit your data


The book is also characterized by interesting illustrations are hand-painted version. E.g:

FIG 1-2 FIG calculation of individual neurons

FIG layer neural network 5-33

download link:

https://pytorch.org/deep-learning-with-pytorch-thank-you

Complete books

In fact, just said 141 of " Deep Learning with PyTorch " is a streamlined version of the official PyTorch tutorials, available for free download in the download address above. The full version of the content a little more books, online reading.

Homepage:

https://www.manning.com/books/deep-learning-with-pytorch#toc

The full version of " Deep Learning with PyTorch " total is divided into two parts, 13 chapters.

The first part introduces PyTorch relevant theoretical knowledge.


The second part is mainly about PyTorch combat, through specific projects to help readers find out exactly what PyTorch.

Supporting Code

The full version of " Deep Learning with PyTorch " Also supporting the book all the code, open source code can be downloaded directly to the left of the home page.

Its GitHub Address:

https://github.com/deep-learning-with-pytorch/dlwpt-code

I hope this brief PyTorch official tutorial can help you ease of entry PyTorch!

最后,如果你想直接获取《Deep Learning with PyTorch》电子版 pdf 和相关源码,可直接在本公众号后台回复:DLP,获取!


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