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X-WR-RELCALID:BayAreaScience.org Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks 20190225T183000
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SUMMARY:Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks
DESCRIPTION:Random Matrix Theory (RMT) is applied to analyze the weight matrices of Deep Neural Networks (DNNs)\, including both production quality\, pre-trained models and smaller models trained from scratch....\n______________________________\nThis Event Downloaded From a Helios Calendar Powered Site
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