Analytic Function Approximation by Path-Norm-Regularized Deep Neural Networks

We show that neural networks with an absolute value activation function and with network path norm, network sizes and network weights having logarithmic dependence on [Formula: see text] can [Formula: see text]-approximate functions that are analytic on certain regions of [Formula: see text].

Detalles Bibliográficos
Autor principal: Beknazaryan, Aleksandr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407526/
https://www.ncbi.nlm.nih.gov/pubmed/36010799
http://dx.doi.org/10.3390/e24081136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407526/
https://www.ncbi.nlm.nih.gov/pubmed/36010799
http://dx.doi.org/10.3390/e24081136

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