Batch Normalization in GANs: A Mathematical Guide for Stable Training

Generative Adversarial Networks (GANs) are powerful but often challenging models to train, particularly when targeting sophisticated applications. Unlike straightforward classifiers, GANs rely on a nuanced interplay between a generator and a discrimi...