For each step through the artificial neural network (both the forward pass and back propagation) the corresponding code is given. Write down for each step the dimensions of the matrix calculations. This educational tool developed at the University of Melbourne aims to give students a better understanding of the Python code for artificial neural networks, and what matrix calculations are happening in an artificial neural network.