Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
Semi-supervised Learning, we use both P(x,y)(some labelled samples) and P(x)(unlabelled samples) to estimate P(y|x)(since we want to predict the class, given the training sample). We want to learn some representation h = f(x)such that samples which are closer in the input space have similar