file:62.Learning sigmoid belief nets [12 min].srt file:12.The error surface for a linear neuron [5 min].mp4 file:36.Modeling character strings with multiplicative connections [14 mins].mp4 file:15.Using the derivatives computed by backpropagation [10 min].mp4 file:54.How a Boltzmann machine models data [12 min].mp4 file:42.Introduction to the full Bayesian approach [12 min].mp4 file:60.The ups and downs of back propagation [10 min].srt file:67.Modeling real-valued data with an RBM [10 mins].srt file:3.Some simple models of neurons [8 min].srt file:23.Convolutional nets for digit recognition [16 min].srt file:71.Deep auto encoders for document retrieval [8 mins].mp4