Files
TinyTorch/modules
Vijay Janapa Reddi e7775535f8 Enhance activations module with visualization system and proper structure
- Reorganize hidden solutions to follow correct NBDev pattern (after each student implementation)
- Add comprehensive visualization system with _should_show_plots() control
- Implement smart test/development mode detection to suppress visualizations during pytest
- Add individual activation function plots and sample data visualizations
- Include comprehensive comparison plots for all activation functions
- Maintain educational inline tests with immediate feedback
- All 24 tests pass cleanly with proper visualization control
- Follows same structure as layers and tensor modules

Features:
- ReLU, Sigmoid, Tanh, Softmax visualizations with mathematical properties
- Real-time visual feedback during development
- Clean test execution without visual noise
- Educational context and use-case guidance for each activation
2025-07-12 01:41:11 -04:00
..