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ageron/tf2_course resource

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course observed · 2026-08-28

github.com/ageron/tf2_course · Jupyter Notebook · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2797
  • days_rel: n/a
  • days_push: 1199
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1909 stars · 532 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter notebooks with exercises and solutions accompanying Aurélien Géron's 'Deep Learning with TensorFlow 2 and Keras' training course. It covers neural networks and deep learning topics using TensorFlow 2 and Keras.

Use cases

  • learn deep learning with tensorflow 2 and keras
  • practice neural network exercises with solutions
  • follow a hands-on deep learning course in notebooks
  • run tensorflow tutorials in colab or binder
  • study keras neural nets with worked examples

When to choose

  • you want structured course material with exercises and solutions for TensorFlow 2 and Keras
  • you prefer learning through runnable Jupyter notebooks in Colab, Binder, or locally
  • you are training or self-studying deep learning fundamentals

When to avoid

  • you need production code or a maintained library rather than educational notebooks
  • you want the latest TensorFlow APIs, as the material was last updated in 2023
  • you are looking for the Hands-on Machine Learning book code, which lives in ageron/handson-ml2

Facets

learning-resource · maturity maintenance

machine-learning deep-learning developer-tools deep-learning machine-learning tutorials education python cross-platform jupyter-notebooks tensorflow keras course-material exercises gpu

1 source

Member repositories

RepositoryRoleHealth v2
ageron/tf2_coursemain32

For agents

markdown · JSON · MCP: product_card(name="ageron/tf2_course")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem