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1 Ergebnisse
1
A genetic programming approach to designing convolutional n..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference
,
Suganuma, Masanori
;
Shirakawa, Shinichi
;
Nagao, Tomoharu
- p. 497-504 , 2017
Link:
https://dl.acm.org/doi/10.1145/3071178.3071229
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference</cTitle>: T1 <Title>A genetic programming approach to designing convolutional neural network architectures</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3071229&Exemplar=1&LAN=DE A1 Suganuma, Masanori A1 Shirakawa, Shinichi A1 Nagao, Tomoharu PB ACM YR 2017 K1 convolutional neural network K1 deep learning K1 designing neural network architectures K1 genetic programming K1 Computing methodologies K1 Artificial intelligence K1 Search methodologies K1 Heuristic function construction K1 Computer vision K1 Computer vision problems K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 497 OP 504 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3071178.3071229 DO https://dl.acm.org/doi/10.1145/3071178.3071229 SF ELIB - SuUB Bremen
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