A comprehensive survey on optimizing deep learning models by metaheuristics
A comprehensive survey on optimizing deep learning models by metaheuristics
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Publisher
Dordrecht: Springer Netherlands
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Language
English
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Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Deep neural networks (DNNs), which are extensions of artificial neural networks, can learn higher levels of feature hierarchy established by lower level features by transforming the raw feature space to another complex feature space. Although deep networks are successful in a wide range of problems in different fields, there are some issues affecti...
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Full title
A comprehensive survey on optimizing deep learning models by metaheuristics
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TN_cdi_proquest_journals_2627871705
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2627871705
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ISSN
0269-2821
E-ISSN
1573-7462
DOI
10.1007/s10462-021-09992-0
