The fastai book

这些notebook包含了对深度学习，fastai，以及PyTorch的介绍。fastai是一个用于深度学习的分层API；要了解更多信息，请阅读the fastai paper论文。本repo的所有内容的版权都属于Jeremy Howard和Sylvain Gugger，起自2020年。

这些notebook被用于一个MOOC课程，并且是这本书（目前可供购买）的基础。书籍并没有本稿的GPL限制。

notebook 里的代码以及 python 的 .py 文件受到 GPL v3 开源协议的保护；更多详情请查看 LICENSE 文件。

其余部分（包括 notebook 里的 markdown 单元以及其他文字内容）可以用于重新发布，调整格式或者载体。你可以复制这里的 notebook 或者 fork 本 repo 用于个人目的。但是任何商业传播行为都是不被允许的。我们制作这些资料是用来帮助你学习深度学习的，所以请遵守我们的版权以及上述限制.

如果你在别的地方发现任何人持有这些资料的副本，请告诉他们，他们的行为是不被允许的，并可能导致法律措施被采取。而且，他们可能会对社区造成伤害。这是因为如果人们忽视我们的版权，我们可能不会再像这样发布新的资料。

这些资料还属于初稿阶段。如果你在运行这些 notebook 时遇到困难，请尝试在fastai-dev forum搜索或者寻求帮助。请不要因为运行 notebook 中遇到的问题而使用 GitHub issues。

若果你要为本 repo 创建 pull request，那么你的作品版权将归于 Jeremy Howard 和 Sylvain Gugger。（另外，如果你是对拼写和文本做一些小修改，请标注文件名并对你的修改提供一个简单的说明。因为对 reviewer 来说，越来越难发现哪些地方已经被改正了。非常感谢。）

The fastai book

These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.

These notebooks are used for a MOOC and form the basis of this book, which is currently available for purchase. It does not have the same GPL restrictions that are on this draft.

The code in the notebooks and python .py files is covered by the GPL v3 license; see the LICENSE file for details.

The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change of format or medium, other than making copies of the notebooks or forking this repo for your own private use. No commercial or broadcast use is allowed. We are making these materials freely available to help you learn deep learning, so please respect our copyright and these restrictions.

If you see someone hosting a copy of these materials somewhere else, please let them know that their actions are not allowed and may lead to legal action. Moreover, they would be hurting the community because we’re not likely to release additional materials in this way if people ignore our copyright.

This is an early draft. If you get stuck running notebooks, please search the fastai-dev forum for answers, and ask for help there if needed. Please don’t use GitHub issues for problems running the notebooks.

If you make any pull requests to this repo, then you are assigning copyright of that work to Jeremy Howard and Sylvain Gugger. (Additionally, if you are making small edits to spelling or text, please specify the name of the file and a very brief description of what you’re fixing. It’s difficult for reviewers to know which corrections have already been made. Thank you.)

Citations

If you wish to cite the book, you may use the following:

  1. @book{howard2020deep,
  2. title={Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD},
  3. author={Howard, J. and Gugger, S.},
  4. isbn={9781492045526},
  5. url={https://books.google.no/books?id=xd6LxgEACAAJ},
  6. year={2020},
  7. publisher={O'Reilly Media, Incorporated}
  8. }