TinyTorch

mirror of https://github.com/MLSysBook/TinyTorch.git synced 2026-05-29 19:25:50 -05:00

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Vijay Janapa Reddi eea5a95fd3 Enhance Module 04 (Layers) with comprehensive educational scaffolding

- 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.

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

01_setup

Deprecate AUTO TESTING: Remove run_module_tests_auto from all _dev.py modules. Standardize on full-module test execution for reliable, context-aware testing.

2025-07-20 13:28:10 -04:00

02_tensor

Add integration test to 02_tensor module: test_module_tensor_numpy_integration

2025-07-20 13:57:34 -04:00

03_activations

Add integration test to 03_activations module: test_module_activation_tensor_integration

2025-07-20 13:59:11 -04:00

04_layers

Enhance Module 04 (Layers) with comprehensive educational scaffolding