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 |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/23b3497c05374c0a8f955325aa4f0c7d |
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