# fastai/course22

The fast.ai course notebooks

Repository: https://github.com/fastai/course22
Canonical: https://ross.abutalabs.com/products/course22
Homepage: https://course.fast.ai
Language: Jupyter Notebook
License Family: other
Topics: deep-learning, fastai, jupyter-notebooks, machine-learning, notebooks, python
Last push: 2024-10-08T01:46:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1591, "days_push": 695, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3705, forks 1344 (observed 2026-08-28T04:08:15.055633+00:00)

## What it is
The official notebooks, slides, and spreadsheets for the fast.ai 2022 'Practical Deep Learning for Coders' course. It accompanies a free video course teaching deep learning with PyTorch and the fastai library.

## Use cases
- learn deep learning from scratch
- follow the fast.ai practical deep learning course
- find course notebooks for lessons
- run fastai notebooks in GitHub Codespaces
- study computer vision and NLP model training examples
- learn to deploy machine learning models

## When to choose
- you want a free, hands-on introduction to deep learning with some coding experience
- you are following the course.fast.ai videos and need the matching notebooks
- you prefer learning via Jupyter notebooks with runnable examples

## When to avoid
- you need a production deep learning library rather than course material
- you want a formal textbook-style reference with rigorous math prerequisites
- you need software with an explicit license for redistribution

## Facets
- artifact type: learning-resource
- maturity: stable
- function: machine-learning, deep-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python, cross-platform
- tags: fastai, jupyter-notebooks, course, education, pytorch

## Member repositories
- fastai/course22 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:15.055633+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:30:59.092535+00:00, confidence not recorded.
  - readme: https://github.com/fastai/course22 (fetched 2026-08-28T04:08:15.055633+00:00, sha 2a5dd8574683)
  - homepage: https://course.fast.ai (fetched 2026-08-29T09:24:33.447363+00:00, sha 24b10727ab7b)
- Data as of 2026-08-30T08:39:29.467469+00:00.