Gradient Descent, Neural Networks.
forward propagation or the left to right for computation for your neural network. Next, let’s compute the derivatives. So, this is the back propagation step. Then I compute DZ2 equals A2 minus the gradient of Y, and just as a reminder, all this is vectorized across examples. So, the matrix Y is