Rethinking pruning for accelerating deep inference at the edge
There is a growing trend to deploy deep neural networks at the edge for high-accuracy, real-time data mining and user interaction. Applications such as speech recognition and language understanding often apply a deep neural network to encode an input sequence and then use a decoder to generate the o...
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Main Authors: | , , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2020
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5292 https://ink.library.smu.edu.sg/context/sis_research/article/6295/viewcontent/3394486.3403058.pdf |
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Institution: | Singapore Management University |
Language: | English |