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Visual analytics tool for the interpretation of hidden states in recurrent neural networks

In this paper, we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural networks. Our technique allows the user to interactively inspect how hidden states store and process information throughout the feeding of an inpu...

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Detalles Bibliográficos
Autores principales:	Garcia, Rafael, Munz, Tanja, Weiskopf, Daniel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Singapore 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479019/ https://www.ncbi.nlm.nih.gov/pubmed/34585277 http://dx.doi.org/10.1186/s42492-021-00090-0

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