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Learning in Convolutional Neural Networks Accelerated by Transfer Entropy

Recently, there is a growing interest in applying Transfer Entropy (TE) in quantifying the effective connectivity between artificial neurons. In a feedforward network, the TE can be used to quantify the relationships between neuron output pairs located in different layers. Our focus is on how to inc...

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Detalles Bibliográficos
Autores principales:	Moldovan, Adrian, Caţaron, Angel, Andonie, Răzvan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471588/ https://www.ncbi.nlm.nih.gov/pubmed/34573843 http://dx.doi.org/10.3390/e23091218

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