introduction deep learning solves the central problem in representation learning find the right representation for data, e.g. polar vs rect coordinates another perspective each layer in multilayer network represents multi-steps in a computer program each layer of representation is a state in a sequence of executions depth equiv. no instructions not all information in a layer’s activation encodes factors of variation that explain the input!