Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
representations and a linear classifier in the new space achieves better generalization error. Instead of separating the supervised and unsupervised criteria, we can instead have a generative model of P(x) (or P(x, y)) which shares parameters with the discriminative model. The idea is to share the