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- Add CNN as module 06 (after networks, before autograd) - Shift all subsequent modules up by one number - Add Transformer as module 15 (advanced/final module) - Complete logical progression from foundations to production systems Final progression: 00_setup → 01_tensor → 02_activations → 03_layers → 04_networks → 05_dataloader → 06_cnn → 07_autograd → 08_training → 09_config → 10_profiling → 11_compression → 12_kernels → 13_benchmarking → 14_mlops → 15_transformer Clear student learning path: Foundation → Core ML → Advanced Architectures → Training Systems → Production Systems → Advanced Topics