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Ashok Chilakapati's Blog – June 2018 Archive (1)

Multivariate Regression with Neural Networks: Unique, Exact and Generic Models

Michael Nielsen provides a visual demonstration in his web book Neural Networks and Deep Learning that a 1-layer deep neural network can match any function y = f(x) . It is just a matter of the number of neurons to get a prediction that is arbitrarily close – the more the neurons the better the approximation.  There is the Universal Approximation Theorem as well that supplies a rigorous proof of the same.But the known issues…

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Added by Ashok Chilakapati on June 22, 2018 at 2:30pm — No Comments

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