Batch Norm Explained Visually -- Why does it work

The Batch Norm layer is frequently used in deep learning models in association with a Convolutional or Linear layer. Many state-of-the-art Computer Vision architectures such as Inception and Resnet rely on it to create deeper networks that can be trained faster. In this article, we will explore why Batch Norm works and why it requires fewer training epochs when training a model. You might also enjoy reading my other article on Batch Norm which explains, in simple language, what Batch Norm is and walks through, step by step, how it operates under the hood. And if you're interested in Neural Network architectures in general, I have some other articles you might like.