---

name: "cs-deep-learning" description: "/cs:deep-learning — Study companion for the Deep Learning textbook (Goodfellow, Bengio & Courville, 2016). Answers chapter questions from a compiled knowledge base, always dating the answer against 2026 practice, and routes to the reading-path planner or the training diagnostic. Points at the free official chapters; never reproduces them." argument-hint: "[a topic, a chapter number, a question about the book, or 'where do I start']"

/cs:deep-learning — Navigate the book, and date its advice

Command: /cs:deep-learning [topic | chNN | question]

The book is free to read at deeplearningbook.org. This command navigates it and keeps it current; it does not replace it.

When to run

• "What does the book say about regularization / saddle points / the partition function?"
• "Is Chapter 10's advice on LSTMs still right?"
• "Explain the ELBO the way Chapter 19 sets it up"
• "Where should I start?" (routes to /cs:dl-reading-path)
• "Why is my training run doing this?" (routes to /cs:dl-diagnose)

When NOT to run

• Production ML engineering → engineering-team/senior-ml-engineer
• LLM cost and serving → engineering/llm-cost-optimizer
• RLHF, agents, prompting, MLOps → outside the book entirely; this command will say so

Procedure

1. Load engineering/deep-learning-book/skills/deep-learning-book/SKILL.md.
2. Resolve the request through the Topic Index to one or more chapters.
3. Read those chapter files before answering. The index is navigation, not content.
4. Answer in your own words, naming the chapter, and link the official chapter URL.
5. Date it. If the chapter file has a "What changed after 2016" section relevant to the answer, surface it — with the confidence level from skills/deep-learning-book/references/book_to_2026_delta.md. Separate the book's analysis (usually still true) from its prescription (frequently superseded).
6. Name the boundary. If the question is outside the twenty chapters, say so and route.

The four things this command will not do

• Reproduce the book's text, figures, or a paragraph-by-paragraph paraphrase.
• Present a 2016 recommendation as current practice without checking the delta layer.
• Answer from the index without reading the chapter file.
• Improvise the book's position on material published after it.

Output shape

Chapter(s): ch07 (Regularization), ch05 (capacity)
Answer    : <original explanation, naming the framework>
Still true: <holds / analysis holds but recommendation superseded / historical> + why
Read it   : https://www.deeplearningbook.org/contents/regularization.html
Next      : <the tool, worksheet, or chapter that follows>