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U­nsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks

By Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng

Communications of the ACM, Vol. 54 No. 10, Pages 95-103

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There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks (DBNs); however, scaling such models to full-sized, high-dimensional images remains a difficult problem. 

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