Enhance Module 04 (Layers) with comprehensive educational scaffolding

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- Add deep mathematical foundation and visual diagrams
- Expand learning goals to connect with production ML systems
- Implement complete TODO/APPROACH/EXAMPLE/HINTS pattern
- Add extensive inline documentation for matrix multiplication
- Enhance Dense layer with detailed initialization strategies
- Create layer-activation integration patterns
- Add production system comparisons (PyTorch, TensorFlow)
- Include real-world architecture examples
- Add comprehensive checkpoint sections
- Expand module summary with industry connections

This enhancement transforms the layers module into a comprehensive
educational resource that deeply explains the mathematical foundation
of all neural networks while maintaining practical implementation focus.

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This commit is contained in:

Vijay Janapa Reddi

2025-09-15 13:28:47 -04:00

parent c03c2a3f03

commit 94482a3b07

1 changed files with 1332 additions and 211 deletions

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modules/source/04_layers/layers_dev.py

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