Representation Power of Neural Networks

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Опубликовано 13 июня 2016, 17:31
This talk will survey a variety of classical results on the representation power of neural networks, and then close with a new result separating shallow and deep networks: namely, there exist classification problems where any shallow network needs exponentially as many nodes to match the accuracy of certain deep or recurrent networks.
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