GitHub - fastai/course22: The fast.ai course notebooks

course.fast.ai

This is where you'll find the notebooks, slides, and spreadsheets for the 2022 edition of Practical Deep Learning for Coders. See course.fast.ai for the lessons.

What's here

Repo root: notebooks
clean folder: notebooks without prose or outputs
xl: Excel spreadsheets
slides: Jeremy's slide decks
tools: Ignore (tools for creating this repo)
getting-started-with-codespaces: A document to help run the notebooks in a GitHub Codespace

Name		Name	Last commit message	Last commit date
Latest commit History 43 Commits
.devcontainer		.devcontainer
clean		clean
slides		slides
tools		tools
xl		xl
.gitignore		.gitignore
00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb		00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb
01-jupyter-notebook-101.ipynb		01-jupyter-notebook-101.ipynb
02-saving-a-basic-fastai-model.ipynb		02-saving-a-basic-fastai-model.ipynb
03-which-image-models-are-best.ipynb		03-which-image-models-are-best.ipynb
04-how-does-a-neural-net-really-work.ipynb		04-how-does-a-neural-net-really-work.ipynb
05-linear-model-and-neural-net-from-scratch.ipynb		05-linear-model-and-neural-net-from-scratch.ipynb
06-why-you-should-use-a-framework.ipynb		06-why-you-should-use-a-framework.ipynb
07-how-random-forests-really-work.ipynb		07-how-random-forests-really-work.ipynb
08-first-steps-road-to-the-top-part-1.ipynb		08-first-steps-road-to-the-top-part-1.ipynb
09-small-models-road-to-the-top-part-2.ipynb		09-small-models-road-to-the-top-part-2.ipynb
10-scaling-up-road-to-the-top-part-3.ipynb		10-scaling-up-road-to-the-top-part-3.ipynb
README.md		README.md
getting-started-with-codespaces.md		getting-started-with-codespaces.md
rise.css		rise.css

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