AI & Machine Learning
Deep Learning Book
Study companion and working knowledge base for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), read free at deeplearningbook.org. Indexes all 20 chapters, carries a 2016-to-2026 delta layer naming what the book got right, what was superseded (transformers, AdamW, diffusion, double descent) and what still holds, and ships four deterministic tools: a prerequisite-aware reading-path planner, a training-failure diagnostic, a capacity-and-regularization planner, and a parameter/FLOP/activation-memory calculator. Use when studying or teaching this book, planning a route through it, deciding whether a chapter's advice is still current, or translating its math into a training decision. It points at the official chapters — it never reproduces them.
- Publisher / source
- Claude Skills Collection
- Upstream record
- alirezarezvani/claude-skills
- Version
- Version 2
- Published
- Publication review
- Approved for publication
- Content fingerprint
d08dbf58db06299310321316fa40228e88adaf27356c1c38c5a79bfc3fca28b3