Correspondence between neuroevolution and gradient descent

Gradient-based and non-gradient-based methods for training neural networks are usually considered to be fundamentally different. The authors derive, and illustrate numerically, an analytic equivalence between the dynamics of neural network training under conditioned stochastic mutations, and under g...

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Autores principales: Stephen Whitelam, Viktor Selin, Sang-Won Park, Isaac Tamblyn
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/2228d1b435c34f58901cee411ded17c8
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