Forward Propagation, Backward Propagation.
point of view, maybe we’ll cache w^l and b^l as well, just to make the function’s call a bit easier in the program exercise. Neural Networks and Deep Learning Pseudo code for forward propagation for layer l: Input A[l-1] Z[l] = W[l]A[l-1] + b[l] A[l] = g[l](Z[l]) Output A[l], cache(Z[l]) The