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Deep Learning on Mobile and Embedded Devices: State-of-the-art, Challenges, and Future Directions.

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Title: Deep Learning on Mobile and Embedded Devices: State-of-the-art, Challenges, and Future Directions.
Authors: YANJIAO CHEN1 chenyanjiao@whu.edu.cn, BAOLIN ZHENG1 baolinzheng@whu.edu.cn, ZIHAN ZHANG1 zhangzihan@whu.edu.cn, QIAN WANG1 qianwang@whu.edu.cn, CHAO SHEN2 chaoshen@xjtu.edu.cn, QIAN ZHANG3 qianzh@cse.ust.hk
Source: ACM Computing Surveys. Jul2021, Vol. 53 Issue 4, p84-84:37. 37p.
Database: Business Source Ultimate
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      – TitleFull: Deep Learning on Mobile and Embedded Devices: State-of-the-art, Challenges, and Future Directions.
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              Text: Jul2021
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