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1 Ergebnisse
1
Intrinsic Sparse LSTM using Structured Targeted Dropout for..:
, In:
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
,
Lindmar, Johanna Hedlund
;
Gao, Chang
;
Liu, Shih-Chii
- p. 126-129 , 2022
Link:
https://doi.org/10.1109/AICAS54282.2022.9869988
RT T1 <cTitle>2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)</cTitle>: T1 <Title>Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9869988&Exemplar=1&LAN=DE A1 Lindmar, Johanna Hedlund A1 Gao, Chang A1 Liu, Shih-Chii YR 2022 K1 Training K1 Recurrent neural networks K1 Embedded systems K1 Circuits and systems K1 Graphics processing units K1 Speech recognition K1 Sparse matrices K1 recurrent neural networks K1 long short-term memory K1 structured pruning K1 model compression SP 126 OP 129 LK http://dx.doi.org/https://doi.org/10.1109/AICAS54282.2022.9869988 DO https://doi.org/10.1109/AICAS54282.2022.9869988 SF ELIB - SuUB Bremen
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