#017 PyTorch - How to apply Batch Normalization in PyTorch

Today, we'll discuss another popular method used to improve the performance of your deep neural network called batch normalization. It is a technique for training deep neural networks that standardizes the inputs to a layer for each mini-batch. After finishing the theoretical part, we will explain how to implement batch normalization in Python using PyTorch. So, let's begin with our lecture. In order to understand batch normalization, first, we need to understand what data normalization is. Data normalization is the process of rescaling the input values in the training dataset to the interval of 0 to 1.