Hands-On Guide To Implement Batch Normalization in Deep Learning Models

Batch normalization is one of the important features we add to our model helps as a Regularizer, normalizing the inputs, in the backpropagation process, and can be adapted to most of the models to converge better. Here, in this article, we are going to discuss the batch normalization technique in detail. We will see the effectiveness of using batch normalization by comparing two models - one without batch normalization and other with batch normalization - in the task of image classification. Topics we cover in this article How Does Batch Normalization work Use of Batch Normalization Defining a Training a Model without Batch Normalization Defining a Training a Model with Batch Normalization How Does Batch Normalization work? Through this article, we will discuss how the batch normalizatio