Download
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. 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 repository. 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.
Features
- Instead of cloning this repo and opening it on your machine, you can read and work with the notebooks using Google Colab
- This is the recommended approach for folks who are just getting started
- No need to set up a Python development environment on your own machine
- You can just work directly in your web-browser
- You can open any chapter of the book in Colab
- Cover an introduction to deep learning
Project Samples
