Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning

The aim of this paper is to provide new theoretical and computational understanding on two loss regularizations employed in deep learning, known as local entropy and heat regularization. For both regularized losses, we introduce variational characterizations that naturally suggest a two-step scheme...

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Detalles Bibliográficos
Autores principales: García Trillos, Nicolas, Kaplan, Zachary, Sanz-Alonso, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515000/
https://www.ncbi.nlm.nih.gov/pubmed/33267225
http://dx.doi.org/10.3390/e21050511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515000/
https://www.ncbi.nlm.nih.gov/pubmed/33267225
http://dx.doi.org/10.3390/e21050511

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