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- Phase 2 now: Autograd → Spatial → Optimizers → DataLoader → Training - Move Spatial (CNNs) from Phase 3 to Phase 2 Module 7 - Integrate BatchNorm into Spatial module (mirrors PyTorch patterns) - Fix milestone: CNN training achievable at end of Phase 2 (Module 10) - Phase 3 focuses on language: Tokenization → Embeddings → Attention → Transformers - Logical dependency flow: understand conv operations before optimizing them