How Neural Networks Actually Work -- Python Implementation Part 2 (Simplified)

For each layer, we will initialize parameters then perform the required computation. There is no computation happening at the input layer, layer 0 and therefore we go straight into the hidden layer, layer 1. This is 4 by 3. We need (n¹, 1) for the bias, which is 4 by 1. To make it easy to print out data, we are not using the data defined at the beginning of the article at this point (we will do that later in this article). We will instead use the following subset.