In my last post, we built a Neural Network that categorized fruit images into 60 different classes. But we did it using some helper functions that I wrote to lower down the complexity! In this post, we will go a little into the nuts and bolts of what are Convolutional Neural Networks used in the last post. I'll also be addressing some concepts that I just introduced in the last post.
