Individual skill

deep-learning-book

Use when studying or applying Goodfellow, Bengio and Courville's Deep Learning, or asking if its advice still holds. Indexes all 20 chapters with a 2016-to-2026 delta, plans reading paths with reading_path_planner.py and diagnoses training failures with training_diagnostics.py.

engineering/deep-learning-book/skills/deep-learning-book/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 29,518
Repository last updated: Nov 5, 2026
License: MIT

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SKILL.mdcore · 11,096 bytes
SKILL.mdcore · 11,096 bytes
SKILL.mdcore · 11,096 bytes
SKILL.mdcore · 11,096 bytes
SKILL.mdcore · 11,096 bytes
SKILL.mdcore · 11,096 bytes
assets/chapter_worksheet.mddoc · 2,348 bytes
assets/example_layer_spec.jsonasset · 1,242 bytes
assets/study_log_template.mddoc · 2,069 bytes
chapters/ch01-introduction.mddoc · 3,176 bytes
chapters/ch02-linear-algebra.mddoc · 3,174 bytes
chapters/ch03-probability-information-theory.mddoc · 3,704 bytes
chapters/ch04-numerical-computation.mddoc · 3,104 bytes
chapters/ch05-machine-learning-basics.mddoc · 3,610 bytes
chapters/ch06-deep-feedforward-networks.mddoc · 3,267 bytes
chapters/ch07-regularization.mddoc · 3,644 bytes
chapters/ch08-optimization.mddoc · 3,560 bytes
chapters/ch09-convolutional-networks.mddoc · 3,485 bytes
chapters/ch10-sequence-modeling.mddoc · 3,627 bytes
chapters/ch11-practical-methodology.mddoc · 3,277 bytes
chapters/ch12-applications.mddoc · 3,122 bytes
chapters/ch13-linear-factor-models.mddoc · 3,207 bytes
chapters/ch14-autoencoders.mddoc · 3,368 bytes
chapters/ch15-representation-learning.mddoc · 3,539 bytes
chapters/ch16-structured-probabilistic-models.mddoc · 3,272 bytes
chapters/ch17-monte-carlo-methods.mddoc · 3,024 bytes
chapters/ch18-partition-function.mddoc · 3,560 bytes
chapters/ch19-approximate-inference.mddoc · 3,363 bytes
chapters/ch20-deep-generative-models.mddoc · 3,759 bytes
cheatsheet.mddoc · 3,250 bytes
glossary.mddoc · 6,032 bytes
patterns.mddoc · 4,803 bytes
references/book_to_2026_delta.mddoc · 6,536 bytes
references/prerequisite_map.mddoc · 5,007 bytes
references/rights_and_use.mddoc · 4,543 bytes
references/study_method_canon.mddoc · 5,473 bytes
scripts/capacity_planner.pyruns · 14,734 bytes
scripts/model_arithmetic.pyruns · 17,282 bytes
scripts/reading_path_planner.pyruns · 20,125 bytes
scripts/training_diagnostics.pyruns · 14,454 bytes

Read excerpt


# Deep Learning — Study Companion

**Source book**: *Deep Learning*, Ian Goodfellow, Yoshua Bengio & Aaron Courville
(MIT Press, 2016) · 20 chapters, 3 parts · read free at
[deeplearningbook.org](https://www.deeplearningbook.org/) · companion compiled 2026-08-25.

**This is a companion, not a copy.** The book is copyrighted, and its site states that the
HTML-only format exists to discourage copying under the authors' MIT Press contract. Nothing
here reproduces its text. Every chapter file is original synthesis — what the chapter
establishes, how to use it, where it has aged — plus a link to the official chapter. Read the
book at the link; use this to navigate it, keep it current, and turn it into decisions.
See [references/rights_and_use.md](references/rights_and_use.md).

## How to Use This Skill