A High-Performance CNN Processor Based on FPGA for MobileNets

Convolution neural networks (CNNs) have been widely applied in the fields of computer vision tasks. However, it is hard to deploy those standard neural networks into embedded devices because of their large amount of operations and parameters. MobileNet, the state-of-the-art CNN which adopts depthwis...

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Bibliographische Detailangaben

Veröffentlicht in:	International Conference on Field-programmable Logic and Applications S. 136 - 143
Hauptverfasser:	Wu, Di, Zhang, Yu, Jia, Xijie, Tian, Lu, Li, Tianping, Sui, Lingzhi, Xie, Dongliang, Shan, Yi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2019
Schlagworte:	Acceleration Computational modeling Convolution convolution neural network Engines Field programmable gate arrays FPGA hardware accelerator MobileNet Schedules
ISSN:	1946-1488
Online-Zugang:	Volltext
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