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02.1-jph00-files-for-class
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04.2-cwb4-files-for-class
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00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb
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01-jupyter-notebook-101.ipynb
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02-saving-a-basic-fastai-model.ipynb
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03-which-image-models-are-best.ipynb
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07-how-random-forests-really-work.ipynb
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README.md
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getting-started-with-codespaces.md
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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

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The fast.ai course notebooks

course.fast.ai

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