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Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y. Ng
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Decide that MRFs are scary, and avoid them. This paper: there is a simple solution. ... CD/PL problem, in pictures. Solution. Gradient descent is iterative. ...
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The hippocampus is thought to be critical for the rapid formation and cued ... of the model, representing the dentate gyrus (DG) and CA fields, are connected ...
To predict the ratings of a movie for a user based on average statistics ... Calculate the average rate of rated movies for each user, assign it to the unrated movie ...
Highlights of Hinton's Contrastive Divergence Pre-NIPS Workshop. Yoshua ... in a sigmoid belief net. ... model (like a sigmoid belief net) in which we first ...
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An efficient way to learn deep generative models Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto
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