Purpose of different layers in a Deep Learning Model

In this article, we have explored the significance or purpose or importance of each layer in a Machine Learning model. Different layers include convolution, pooling, normalization and much more. For example: the significance of MaxPool is that it decreases sensitivity to the location of features. We will go through each layer and explore its significance accordingly. Layers are the deep of deep learning!