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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| 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 |