Doing the Impossible: Why Neural Networks Can Be Trained at All

As deep neural networks grow in size, from thousands to millions to billions of weights, the performance of those networks becomes limited by our ability to accurately train them. A common naive question arises: if we have a system with billions of degrees of freedom, don't we also need billion...

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Bibliographic Details
Main Authors: Nathan O. Hodas, Panos Stinis
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2018.01185/full