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Evolving Deep Convolutional Neural Networks for Image Classification

scientific article published in April 2020

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Evolving Deep Convolutional Neural Networks for Image Classification (English)

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Victoria University of Wellington

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National Natural Science Foundation of China

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Yanan Sun

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Bing Xue

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Bing Xue

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Mengjie Zhang

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Mengjie Zhang

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Gary G Yen

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Gary G. Yen

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publication date

April 2020

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full work available at URL

http://dx.doi.org/10.1109/tevc.2019.2916183

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IEEE Transactions on Evolutionary Computation

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volume

24

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issue

2

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page(s)

394-407

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“Integer-making” theorems

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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

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Backpropagation Applied to Handwritten Zip Code Recognition

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Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

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Gradient-based learning applied to document recognition

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Densely Connected Convolutional Networks

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An empirical evaluation of deep architectures on problems with many factors of variation

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Identifiers

DOI

10.1109/TEVC.2019.2916183

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(Q124073007)

Evolving Deep Convolutional Neural Networks for Image Classification

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