Claude Code plugins
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Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
UbD 逆向设计驱动的教材写作 skill 组合：教学定位 → UbD 预期结果 → 章节树 → 四段式逐章写作 → 每题按学科档案验证，产出有主线、有梯度、可评估的成体系教材；内置 STEM、人文社科、经济学三份学科档案
Classical formal logic from G. Chelpanov's textbook: concepts, judgments, syllogisms, induction, fallacies, laws of thought.
reasoning