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1
Efficient Neural Networks on the Edge with FPGAs by Optimiz..:
, In:
Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays
,
Jiang, Yiyue
;
Vaicaitis, Andrius
;
Dooley, John
. - p. 184 ff. , 2024
Link:
https://dl.acm.org/doi/10.1145/3626202.3637594
RT T1 <cTitle>Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays</cTitle>: T1 <Title>Efficient Neural Networks on the Edge with FPGAs by Optimizing an Adaptive Activation Function</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3637594&Exemplar=1&LAN=DE A1 Jiang, Yiyue A1 Vaicaitis, Andrius A1 Dooley, John A1 Leeser, Miriam PB ACM YR 2024 K1 adaptive activation function (aaf) K1 deep learning K1 digital predistortion K1 fpga K1 neural network K1 Hardware K1 Integrated circuits K1 Reconfigurable logic and FPGAs K1 Reconfigurable logic applications K1 Computer systems organization K1 Architectures K1 Other architectures K1 Neural networks SP 184 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3626202.3637594 DO https://dl.acm.org/doi/10.1145/3626202.3637594 SF ELIB - SuUB Bremen
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