An Adaptive Deep Learning Optimization Method Based on Radius of Curvature

An adaptive clamping method (SGD-MS) based on the radius of curvature is designed to alleviate the local optimal oscillation problem in deep neural network, which combines the radius of curvature of the objective function and the gradient descent of the optimizer. The radius of curvature is consider...

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Autores principales: Jiahui Zhang, Xinhao Yang, Ke Zhang, Chenrui Wen
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/acab22f5e532433c807e6c5f9bb9d3fc
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