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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| Formato: | Artigo |
| Idioma: | Inglês |
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MDPI AG
2020-05-01
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| Series: | Entropy |
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| Acceso en liña: | https://www.mdpi.com/1099-4300/22/5/587 |
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