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.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
 
 
rise.css
rise.css
 
 

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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)

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part 1/22

course.fast.ai

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  • Jupyter Notebook 100.0%