Understanding Deep Learning with Statistical Relevance.

This paper argues that a notion of statistical explanation, based on Salmon's statistical relevance model, can help us better understand deep neural networks. It is proved that homogeneous partitions, the core notion of Salmon's model, are equivalent to minimal sufficient statistics, an important no...

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Publicado en:	Philosophy of Science Vol. 89; no. 1; pp. 20 - 42
Autor principal:	Räz, Tim
Formato:	Artículo
Publicado:	Cambridge University Press Jan2022
Materias:	Artificial neural networks Statistical learning Deep learning Inferential statistics Statistical models
Acceso en línea:	Ver este registro en EBSCOhost