Gradient Descent, Neural Networks.
regression. But now as you continue to run back propagation, you will compute this, DZ2 times G1 prime of Z1. So, this quantity G1 prime is the derivative of whether it was the activation function you use for the hidden layer, and for the output layer, I assume that you are doing binary