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Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data
In this paper, we propose a new automatic hyperparameter selection approach for determining the optimal network configuration (network structure and hyperparameters) for deep neural networks using particle swarm optimization (PSO) in combination with a steepest gradient descent algorithm. In the pro...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728507/ https://www.ncbi.nlm.nih.gov/pubmed/29236718 http://dx.doi.org/10.1371/journal.pone.0188746 |