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Sync RAG and semantic-search updates from che-computing

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- 03-rag, 04-semantic-search: env-var-before-imports fix in build/query scripts
- 03-rag: new libraries section, fetch_arxiv.py, exercises for larger corpus
  and finding current SOTA models, formal references (Lewis, Booth)
- 04-semantic-search: libraries pointer back to Part III, larger corpus
  subsection, model-update exercise, formal references
- 06-neural-networks: add Nielsen reference (recommended by student)
- README: vocab.md link, agentic systems in description, Ollama prereq for 02-05
- New: vocab.md (glossary organized by section)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Eric Furst 2026-04-28 12:05:08 -04:00
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06-neural-networks/README.md
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@ -254,5 +254,6 @@ The fundamental loop — forward pass, compute loss, backpropagate, update weigh
### Reading
- Zhang, Lipton, Li & Smola, *Dive into Deep Learning* — interactive, with runnable code in PyTorch: https://d2l.ai
- Nielsen, *Neural Networks and Deep Learning* — clear introduction with interactive plots and exercises: http://neuralnetworksanddeeplearning.com/
- Goodfellow, Bengio & Courville, *Deep Learning* (2016), freely available at https://www.deeplearningbook.org/
- 3Blue1Brown, *Neural Networks* video series: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi — excellent visual intuition for how neural networks learn