Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks
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.
