Hybrid Stochastic GA-Bayesian Search for Deep Convolutional Neural Network Model Selection

Hybrid Stochastic GA-Bayesian Search for Deep Convolutional Neural Network Model Selection

In recent years, deep convolutional neural networks (DCNNs) have delivered notable successes in visual tasks, and in particular, image classification related applications. However, they are sensitive to the selection of their architectural and learning hyperparameters, which impose an exponentially...

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Bibliographic Details
Main Authors: Waseem Rawat, Zenghui Wang
Format: Article
Language:English
Published: Graz University of Technology 2019-06-01
Series:Journal of Universal Computer Science
Subjects:
convolutional neural networks
genetic algorithms
Online Access:https://lib.jucs.org/article/22617/download/pdf/

Internet

https://lib.jucs.org/article/22617/download/pdf/

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