A simplified explanation for Understanding the Mathematics of Deep Learning

In this post, I explain the maths of Deep Learning in a simplified manner. To keep the explanation simple, we cover the workings of the MLP mode (Multilayer Perceptron). I have drawn upon a number of references – which are indicated in the post in the relevant sections. Deep Learning models are playing a significant role in many domains. In the simplest case, deep learning involves stacking multiple neural network layers to address a problem (typically Classification).