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Keyword: sum-product networks ×Clear all

1 claim from 1 paper

1. Computer Science › Neural Networks and Applications

   Shallow vs. Deep Sum-Product Networks

   Delalleau and Bengio · 2011

   The paper theoretically compares deep and shallow sum-product networks, which compute products or weighted sums, to study how well each architecture can represent functions.

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   1. UncheckedThe authors prove some families of functions need far fewer hidden units in a deep sum-product network than in a shallow one.“We prove there exist families of functions that can be represented much more efficiently with a deep network than with a shallow one, i.e. with substantially fewer hidden units.”