The convolutional layer is the first and core layer of the CNN. It is one of the building blocks of a CNN and is used for extracting important features from the image.
We have an image of a horse. What do you think are the features that will help us to understand that this is an image of a horse? We can say body structure, face, legs, tail, and so on. But how does the CNN understand these features? This is where we use a convolution operation that will extract all the important features from the image that characterize the horse. So, the convolution operation helps us to understand what the image is all about.
Okay, what exactly is this convolution operation? How it is performed? How does it extract the important features? ...
