Convolutional Neural Networks: Basic Theory in a Nutshell

Majority of the tutorials I've seen on convolutional neural networks either focus on providing a basic analogy or going straight into describing terminology. Therefore, I aim to start with an overview of the stages involved in CNN's (Convolutional Neural Networks) and then provide an analogy, as well as a small glossary of key and external resources for further assistance. Make sure to utilize the glossary to understand key terms used throughout the blog post to help understand the material and continue onwards to a few other articles or video's mentioned in my resources section! By the way, don't expect to completely understand CNN's straight away, as they ain't all too simple! Note that I'll be providing tangible/practical code in another one of my problem-solution blog post (where I take a problem I've had and explain my final derived solution, along with how I've overcome some major hurdles).