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Entropic Dynamics in Neural Networks, the Renormalization Group and the Hamilton-Jacobi-Bellman Equation

We study the dynamics of information processing in the continuum depth limit of deep feed-forward Neural Networks (NN) and find that it can be described in language similar to the Renormalization Group (RG). The association of concepts to patterns by a NN is analogous to the identification of the fe...

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Autor principal: Nestor Caticha
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2020-05-01
Colección:Entropy
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Acceso en línea:https://www.mdpi.com/1099-4300/22/5/587
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