Learn the simplest explanation of layer normalization in transformers. Understand how it stabilizes training, improves convergence, and why it’s essential in deep learning models like BERT and GPT.

Normalization techniques have become integral to the training of deep neural networks, serving to stabilise learning dynamics, accelerate convergence and improve generality. At their core, these ...