Forward Propagation, Backward Propagation.
with the input data x. How about the backward recursion? Well it turns out that da of l when you’re using logistic regression, when you’re doing binary classification is equal to y over a plus 1 minus y over 1 minus a. It turns out that the derivative of the loss function respect to the output with