ageron/tf2_course resource
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course 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
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
- readme: https://github.com/ageron/tf2_course · fetched 2026-08-28 · fc82d47b123d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ageron/tf2_course | main | 32 |
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