Using phidelta diagrams to discover relevant patterns in multilayer perceptrons

Abstract Understanding the inner behaviour of multilayer perceptrons during and after training is a goal of paramount importance for many researchers worldwide. This article experimentally shows that relevant patterns emerge upon training, which are typically related to the underlying problem diffic...

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Autor principal: Giuliano Armano
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/23b3497c05374c0a8f955325aa4f0c7d
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