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1 Ergebnisse
1
Combining Regularization and Dropout Techniques for Deep Co..:
, In:
2022 Global Energy Conference (GEC)
,
Farhadi, Zari
;
Bevrani, Hossein
;
Feizi-Derakhshi, Mohammad-Reza
- p. 335-339 , 2022
Link:
https://doi.org/10.1109/GEC55014.2022.9986657
RT T1
2022 Global Energy Conference (GEC)
: T1
Combining Regularization and Dropout Techniques for Deep Convolutional Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9986657&Exemplar=1&LAN=DE A1 Farhadi, Zari A1 Bevrani, Hossein A1 Feizi-Derakhshi, Mohammad-Reza YR 2022 K1 Training K1 Deep learning K1 Gold K1 Simulation K1 Neurons K1 Cost function K1 Data models K1 Regularization K1 Dropout K1 Convolutional Neural Network K1 Elastic Net SP 335 OP 339 LK http://dx.doi.org/https://doi.org/10.1109/GEC55014.2022.9986657 DO https://doi.org/10.1109/GEC55014.2022.9986657 SF ELIB - SuUB Bremen
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