Sparse Feature Learning for Deep Belief Networks

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• Philipp Hennig (University of Cambridge)
• Monday 28 January 2008, 11:15-12:45
• TCM Seminar Room, Cavendish Laboratory, Department of Physics.

If you have a question about this talk, please contact Philipp Hennig.

This week, we will discuss Sparse Feature Learning for Deep Belief Networks by Ranzato, Bureau and Le Cun.

It might also be interesting to look at at Yann Le Cun’s talk at (M)NIPS, on sparse feature detectors and a paper by nearly the same group of authors, Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition, using a convolutional approach.

This talk is part of the Machine Learning Journal Club series.

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