Deep neural networks compression learning based on multiobjective evolutionary algorithms

This work addresses the problem of deep neural network compression, which is a promising technique to reduce the number of network parameters and/or speed up the network evaluation process significantly. Most of the existing methods rely on domain experts’ experience for the selection of hyperparame...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 378; s. 260 - 269
Hlavní autori:	Huang, Junhao, Sun, Weize, Huang, Lei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 22.02.2020
Predmet:	Evolutionary optimization Expensive optimization Neural network compression Pareto-optimal solutions Expensive optimization Pareto-optimal solutions Evolutionary optimization Neural network compression
ISSN:	0925-2312, 1872-8286
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