Let's begin by showing you an of what a simple neural network would look like, visually. It consists of an input layer with 2 inputs, a Hidden Layer with 3 neurons (sometimes called nodes), and a final output layer consisting of a single neuron. Of course, neural networks can consist of many more layers (and neurons per layer), and once you get into deep learning you will see much more of this, but for now this will suffice. Remember, each node, which is labeled as follows with an N, is an individual neuron – its own little processing brain, if you will:
Let’s break down the neural network into its three basic parts; inputs, Hidden Layers and outputs:
Inputs: This is the initial data for our network. Each input is a whose output to the Hidden Layer is the initial input value.
Hidden Layers: These are the heart and soul of our network, and...
