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Decomposing a Recurrent Neural Network into Modules for Ena..:
, In:
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
,
Imtiaz, Sayem Mohammad
;
Batole, Fraol
;
Singh, Astha
... - p. 1020-1032 , 2023
Link:
https://doi.org/10.1109/ICSE48619.2023.00093
RT T1 <cTitle>2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)</cTitle>: T1 <Title>Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10172723&Exemplar=1&LAN=DE A1 Imtiaz, Sayem Mohammad A1 Batole, Fraol A1 Singh, Astha A1 Pan, Rangeet A1 Cruz, Breno Dantas A1 Rajan, Hridesh YR 2023 SN 1558-1225 K1 Deep learning K1 Recurrent neural networks K1 Costs K1 Natural languages K1 Computer architecture K1 Behavioral sciences K1 Convolutional neural networks K1 recurrent neural networks K1 decomposing K1 modules K1 modularity SP 1020 OP 1032 LK http://dx.doi.org/https://doi.org/10.1109/ICSE48619.2023.00093 DO https://doi.org/10.1109/ICSE48619.2023.00093 SF ELIB - SuUB Bremen
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