Recent Developments in Deep Learning (Hinton, 2010)

Google Tech Talk March 19, 2010 ABSTRACT Presented by Geoff Hinton, University of Toronto. Deep networks can be learned efficiently from unlabeled data. The layers of representation are learned one at a time using a simple learning module that has only one layer of latent variables. The values of the latent variables of one module form the data for training the next module.