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- W3000046085 abstract "We present a method using an island-based genetic algorithm to automatically optimize the hyper-parameters of deep neural networks (DNNs). The method consists of two steps: hyper-parameter search and complete DNNs training. To demonstrate our method, we use deep convolutional neural networks (DCNNs). We encode structure and hyper-parameters of a DCNN as a chromosome and then apply an island-based genetic algorithm to optimize the structure and hyper-parameters. To evaluate the proposed method, we implemented an image classification task using CIFAR-10 dataset. The experimental results show that the proposed method can efficiently search for the hyper-parameters of DCNNs." @default.
- W3000046085 created "2020-01-23" @default.
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- W3000046085 date "2019-07-01" @default.
- W3000046085 modified "2023-10-13" @default.
- W3000046085 title "A Hyper-parameter Optimization for Deep Neural Network using an Island-based Genetic Algorithm" @default.
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- W3000046085 doi "https://doi.org/10.1109/ecti-con47248.2019.8955288" @default.
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