Representation Power of Neural Networks
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Published on ● Video Link: https://www.youtube.com/watch?v=byHU2Vlp2Vs
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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microsoft research
neural networks
computer systems and networking