# goodfeli/dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

Repository: https://github.com/goodfeli/dlbook_exercises
Canonical: https://ross.abutalabs.com/products/dlbook_exercises
Language: TeX
License: BSD-3-Clause
License Family: permissive
Last push: 2022-06-16T17:03:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3797, "days_push": 1539, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1444, forks 340 (observed 2026-08-28T04:04:45.049627+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: deep-learning, machine-learning, education, tutorials
- platform: python
- tags: tex, textbook-exercises, deep-learning-book, solutions

## Member repositories
- goodfeli/dlbook_exercises (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.049627+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 2026-08-30T04:36:17.794218+00:00, confidence not recorded.
  - readme: https://github.com/goodfeli/dlbook_exercises (fetched 2026-08-28T04:04:45.049627+00:00, sha ed3a6999260d)
- Data as of 2026-08-30T08:39:29.467469+00:00.