Vijay Janapa Reddi 688e5826ec feat: Add Milestone 04 (CNN Revolution 1998) + Clean spatial imports ...

Milestone 04 - CNN Revolution:
✅ Complete 5-Act narrative structure (Challenge → Reflection)
✅ SimpleCNN architecture: Conv2d → ReLU → MaxPool → Linear
✅ Trains on 8x8 digits dataset (1,437 train, 360 test)
✅ Achieves 84.2% accuracy with only 810 parameters
✅ Demonstrates spatial operations preserve structure
✅ Beautiful visual output with progress tracking

Key Features:
- Conv2d (1→8 channels, 3×3 kernel) detects local patterns
- MaxPool2d (2×2) provides translation invariance
- 100× fewer parameters than equivalent MLP
- Training completes in ~105 seconds (50 epochs)
- Sample predictions table shows 9/10 correct

Module 09 Spatial Improvements:
- Removed ugly try/except import pattern
- Clean imports: 'from tinytorch.core.tensor import Tensor'
- Matches PyTorch style (simple and professional)
- No fallback logic needed

All 4 milestones now follow consistent 5-Act structure!

2025-09-30 17:04:41 -04:00

..

optimizers_dev.ipynb

feat: Add Milestone 04 (CNN Revolution 1998) + Clean spatial imports

2025-09-30 17:04:41 -04:00

optimizers_dev.py

Fix gradient propagation: enable autograd and patch activations/losses

2025-09-30 13:51:30 -04:00