Backpropagation from scratch output node convergence and matrix dot-product issus using numpy for a two-layer MLP classification problem

Question

I am trying to implement a two-layer MLP from scratch using numpy with the goal of classifying points as either a 1 or a 0. The network architecture is 2 inputs (x1,x2), four hi