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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Hlavní autoři: Chaoxue Wang, Tengteng Shi, Danni Han
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-03-01
Edice:Applied Sciences
Témata:
adaptive
convolutional neural networks
Gaussian mutation
hyperparameter optimization
particle swarm optimization algorithm
On-line přístup:https://www.mdpi.com/2076-3417/13/7/4254

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

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