Convolutional Neural Networks — A Beginner’s Guide

The goal of this post is to serve as a introduction to basic concepts involved in a convolution neural network. This post is focused towards the final goal of implementing a MNIST handwritten digit classifier so everything is explained keeping that in mind — convolution layers, max pooling layers, RelU activation function, fully connected layers, dropout layers, cross entropy loss function, etc.