Vijay Janapa Reddi be14f8e765 Enhance autograd_dev.py with comprehensive documentation and methods ...

✨ Major improvements to Module 05: Autograd
- Add complete Jupyter notebook structure with markdown cells
- Enhance all Function classes with detailed mathematical explanations
- Add comprehensive unit tests with proper test patterns
- Improve enable_autograd() with detailed documentation
- Add integration tests for complex computation graphs
- Include educational visualizations and examples
- Follow TinyTorch standards with ⭐⭐ difficulty rating
- All tests pass: Function classes, Tensor autograd, integration scenarios

🎯 Ready for student use with modern PyTorch 2.0 style autograd

2025-09-30 09:22:29 -04:00

..

source

Enhance autograd_dev.py with comprehensive documentation and methods

2025-09-30 09:22:29 -04:00