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Substantiation of the backpropagation technique via the Hamilton—Pontryagin formalism for training nonconvex nonsmooth neural networks

The paper observes the similarity between the stochastic optimal control over discrete dynamical systems and the lear ning multilayer neural networks. It focuses on contemporary deep networks with nonconvex nonsmooth loss and activation functions. The machine learning problems are treated as nonco...

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Bibliographic Details
Main Author: Norkin, V.I.
Format: Article
Language:English
Published: Видавничий дім "Академперіодика" НАН України 2019
Series:Доповіді НАН України
Subjects:
Online Access:http://dspace.nbuv.gov.ua/handle/123456789/162684
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