Backpropagation, Mathematics, Calculus, Machine Learning, Neural Networks.
our one final scalar a². Since we’re using a different cost function, we’re going to have to derive this one anew to get our first derivative in our chain. Now that we have our first derivative, we need to take the other two. The next derivative, the one that goes through the sigmoid, is identical