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# The fastai book
These notebooks cover an introduction to deep learning, fastai, and PyTorch. They are copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
These notebooks cover an introduction to deep learning, [fastai](https://docs.fast.ai/), and [PyTorch](https://pytorch.org/). fastai is a layered API for deep learning; for more information, see [the fastai paper](https://www.mdpi.com/2078-2489/11/2/108). Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
Our plan is that these notebooks will form the basis of [this book](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), which you can pre-order. It will not have the same GPL restrictions that are on this draft.
These notebooks will be used for [a course we're teaching](https://www.usfca.edu/data-institute/certificates/deep-learning-part-one) in San Francisco from March 2020, and will be available as a MOOC from around July 2020. In addition, our plan is that these notebooks will form the basis of [this book](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), which you can pre-order. It will 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.
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This is an early draft. We will be providing a channel for comments and feedback soon.
If you make any pull requests to this repo, then you are assigning copyright of that work to Jeremy Howard and Sylvain Gugger.