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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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| Publicado no: | PeerJ Comput Sci |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7924536/ https://ncbi.nlm.nih.gov/pubmed/33816989 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.338 |
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