Why Does Batch Normalization Work?
Introduction Batch Normalization is a simple yet extremely effective technique that makes learning with neural networks faster and more stable. Despite the common adoption, theoretical justification of BatchNorm has been vague and shaky. The belief propagating through the ML community is that BatchNorm improves optimization by reducing internal covariate shift (ICS). As we shall …