Major changes:
- Moved TinyGPT from Module 16 to examples/tinygpt (capstone demo)
- Fixed Module 10 (optimizers) and Module 11 (training) bugs
- All 16 modules now passing tests (100% health)
- Added comprehensive testing with 'tito test --comprehensive'
- Renamed example files for clarity (train_xor_network.py, etc.)
- Created working TinyGPT example structure
- Updated documentation to reflect 15 core modules + examples
- Added KISS principle and testing framework documentation
- Replace ugly gray background with clean white theme
- Add proper logo styling and configuration
- Update book chapters from module READMEs
- Add educational-ml-docs-architect agent
- Clean up custom CSS for better readability
- Configure logo.png in correct location
- Update tito book command with proper chapters
- Replace hardcoded module names array with dynamic reading from module.yaml files
- Add get_module_names() function to read actual module structure
- Fix IndexError in get_prev_module_name() and get_next_module_name() functions
- Update navigation logic to use actual module count instead of hardcoded assumptions
- Successfully converts all 16 modules to chapters with proper navigation
- Book build now completes without errors
🔄 Chapter File Reorganization:
- Renamed 05-networks.md → 05-dense.md
- Renamed 06-cnn.md → 06-spatial.md
- Created 07-attention.md with transformer-focused content
- Renumbered all subsequent chapters (7→8, 8→9, 9→10, etc.)
- Updated final module: 15-capstone.md → 16-capstone.md
📚 Attention Chapter Content:
- Added comprehensive attention module introduction
- Covers self-attention, multi-head attention, transformer foundations
- Explains Query-Key-Value mechanism and scaled dot-product attention
- Connects to previous modules (tensors, activations, layers, dense)
- Positions attention as foundation for modern AI (GPT, BERT, ViTs)
✅ Build Verification:
- Jupyter Book builds successfully with no missing file errors
- All 16 chapters now properly indexed in table of contents
- New structure: Foundation (1-3), Building Blocks (4-7), Training (8-11),
Inference & Serving (12-16)
Result: Complete alignment between repository structure, book chapters,
and table of contents. Students can now navigate the full 16-module course
with proper attention coverage and updated section organization.
