Forward Propagation, Backward Propagation.
This allows you to input this quantity, da, over here. Output dW^l, dp^l, the derivatives you need, as well as da^l minus 1 as follows. That’s how you implement the backward function. Summary Neural Networks and Deep Learning Just to summarize, take the input x, you may have the first layer maybe