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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Chaoxue Wang, Tengteng Shi, Danni Han
التنسيق: مقال
اللغة:English
منشور في: MDPI AG 2023-03-01
سلاسل:Applied Sciences
الموضوعات:
adaptive
convolutional neural networks
Gaussian mutation
hyperparameter optimization
particle swarm optimization algorithm
الوصول للمادة أونلاين:https://www.mdpi.com/2076-3417/13/7/4254

الانترنت

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

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