goodfeli/dlbook_exercises resource
Exercises for the Deep Learning textbook at www.deeplearningbook.org 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: 3797
- days_rel: n/a
- days_push: 1539
- n_releases_24m: 0
Adoption not part of the score
1444 stars · 340 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of exercise solutions for the Deep Learning textbook by Goodfellow, Bengio, and Courville, written in TeX. It accompanies the freely available book at deeplearningbook.org.
Use cases
- solutions to deep learning textbook exercises
- study companion for the Deep Learning book
- practice problems for learning deep learning theory
- self-study material for neural network fundamentals
- check my answers to deeplearningbook exercises
When to choose
- you are studying the Deep Learning textbook and want worked solutions
- you want to verify your own exercise answers
- you are teaching a course using the book and need reference solutions
When to avoid
- you want a deep learning framework or runnable code
- you need a beginner tutorial rather than graduate-level exercises
- you want interactive or up-to-date course material
Facets
learning-resource · maturity maintenance
documentation deep-learning machine-learning education tutorials python tex textbook-exercises deep-learning-book solutions
1 source
- readme: https://github.com/goodfeli/dlbook_exercises · fetched 2026-08-28 · ed3a6999260d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| goodfeli/dlbook_exercises | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="goodfeli/dlbook_exercises")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem