Forward Propagation, Backward Propagation.
left to right. Section 2- Backward propagation for Layer l Neural Networks and Deep Learning Pseudo code for back propagation for layer l: Input da[l], Caches dZ[l] = dA[l] * g'[l](Z[l]) dW[l] = (dZ[l]A[l-1].T) / m db[l] = sum(dZ[l])/m # Dont forget axis=1, keepdims=True dA[l-1] = w[l].T * dZ[l] #