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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Main Author: | Giuliano Armano |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
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Subjects: | |
Online Access: | https://doaj.org/article/23b3497c05374c0a8f955325aa4f0c7d |
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