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Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks

In this study, we model a CNN hyper-parameter optimization problem as a bi-criteria optimization problem, where the first objective being the classification accuracy and the second objective being the computational complexity which is measured in terms of the number of floating point operations. For...

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Detalles Bibliográficos
Autores principales:	Gülcü, Ayla, Kuş, Zeki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2021
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924536/ https://www.ncbi.nlm.nih.gov/pubmed/33816989 http://dx.doi.org/10.7717/peerj-cs.338

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