Chapter 8: RMS Normalisation and Residual Connections
What You'll Build Two architectural patterns that make deep networks trainable: RMSNorm (keeps activations from exploding or vanishing) and residual connections (gives gradients a highway to flow through). Chapters 1-2 (Value), Chapter 5 (Helpers). As data flows through many Linear operations and
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