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Semantic Hashing, Deep Autoencoders and Universal Approximators

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

At this term’s first Journal Club, we will discuss Semantic Hashing by Ruslan Salakhutdinov and Geoffrey Hinton and, using this as a starting point, heuristics for architecture design of deep belief nets.

We will also spend some time on Deep Narrow Sigmoid Belief Networks are Universal Approximators by Sutskever and Hinton.

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

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