Files
TinyTorch/modules
Vijay Janapa Reddi 6769fae360 STANDARDIZE: Consistent Linear terminology across all modules
Remove backward compatibility aliases and enforce PyTorch-consistent naming:
- Remove Dense = Linear alias in Module 04 (layers)
- Update all Dense references to Linear in Modules 02, 08, 09, 18, 21
- Remove MaxPool2d = MaxPool2D alias in Module 17 (quantization)
- Standardize fc/dense_weights to linear_weights in Module 18 (compression)

Benefits:
- Eliminates naming confusion between Dense/Linear terminology
- Aligns with PyTorch production patterns (nn.Linear)
- Reduces cognitive load with single consistent naming convention
- Improves student transfer to real ML frameworks

All modules tested and functionality preserved.
2025-09-26 11:51:54 -04:00
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