Batch Normalization for Neural Networks - How it Works

In this video, we will learn about Batch Normalization. Batch Normalization is a secret weapon that has the power to solve many problems at once. It is a great tool to deal with the unstable gradients problem, helps deal with overfitting, and might even make your models train faster.

We will first go into what Batch Normalization is and how it works. Later we will talk about why you might want to use it in your projects and some benefits of it. And lastly, we will learn how to apply Batch Learning to your models using Python and Keras. Even though it is fairly simple to apply Batch Normalization using Keras, we will touch upon some details that might need extra care.