A feedforward neural net is an instance of supervised machine learning in which we know the correct output y for each observation x. What the system produces, via Eq. 7.13, isŷ, the system's estimate of the true y. The goal of the training procedure is to learn parameters W [i] and b [i] for each layer i that makeŷ for each training observation as close as possible to the true y.