# janishar/mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Repository: https://github.com/janishar/mit-deep-learning-book-pdf
Canonical: https://ross.abutalabs.com/products/mit-deep-learning-book-pdf
Language: Java
License Family: other
Topics: deep-learning, machine-learning, linear-algebra, mit, deeplearning, pdf, neural-network, neural-networks, machine, thinking, book, chapter, learning, lecture-notes, excercises, good, clear, printable, print
Last push: 2026-02-03T19:27:04+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 65, release rhythm 8, longevity 100
- inputs: {"age_days": 3435, "days_push": 211, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14214, forks 2907 (observed 2026-08-28T04:11:06.438297+00:00)

## What it is
A repository hosting the MIT Deep Learning Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville as complete and chapter-wise PDFs, converted from the free HTML version. It is a study resource, not software, offering bookmarked, tablet-friendly, and printable PDF formats.

## Use cases
- download the deep learning book as a pdf
- read goodfellow deep learning book offline
- get chapter-wise pdfs of the deep learning textbook
- print a clean copy of the MIT deep learning book
- learn deep learning fundamentals from a comprehensive book
- find a tablet-friendly version of the deep learning book

## When to choose
- you want a free, high-quality PDF of the Deep Learning book for offline or printed reading
- you prefer chapter-wise PDFs for studying specific topics
- you want bookmarked navigation in the PDF

## When to avoid
- you need executable code or software tooling - this is only a book
- you want the official source - use deeplearningbook.org directly
- you need a license-cleared redistribution - the repo has no license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: pdf, machine-learning, deep-learning
- domain: deep-learning, machine-learning, education, tutorials
- platform: cross-platform
- tags: textbook, pdf-book, deep-learning-book, mit-press, lecture-notes, offline-reading

## Member repositories
- janishar/mit-deep-learning-book-pdf (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:06.438297+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 2026-08-29T17:12:43.867556+00:00, confidence not recorded.
  - readme: https://github.com/janishar/mit-deep-learning-book-pdf (fetched 2026-08-28T04:11:06.438297+00:00, sha f42fb80d2412)
- Data as of 2026-08-30T08:39:29.467469+00:00.