Adaptive Dimensional Gaussian Mutation of PSO-Optimized Convolutional Neural Network Hyperparameters

Adaptive Dimensional Gaussian Mutation of PSO-Optimized Convolutional Neural Network Hyperparameters

The configuration of the hyperparameters in convolutional neural networks (CNN) is crucial for determining their performance. However, traditional methods for hyperparameter configuration, such as grid searches and random searches, are time consuming and labor intensive. The optimization of CNN hype...

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Bibliografische gegevens
Hoofdauteurs: Chaoxue Wang, Tengteng Shi, Danni Han
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-03-01
Reeks:Applied Sciences
Onderwerpen:
adaptive
convolutional neural networks
Gaussian mutation
hyperparameter optimization
particle swarm optimization algorithm
Online toegang:https://www.mdpi.com/2076-3417/13/7/4254

Internet

https://www.mdpi.com/2076-3417/13/7/4254

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