Batch Normalization is a technique used in neural networks to normalize the inputs of each layer. It helps improve training speed, stability, and generalization. This process involves normalizing the ...

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 ...