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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Bibliographic Details

Published in:	International Conference on Field-programmable Logic and Applications pp. 136 - 143
Main Authors:	Wu, Di, Zhang, Yu, Jia, Xijie, Tian, Lu, Li, Tianping, Sui, Lingzhi, Xie, Dongliang, Shan, Yi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2019
Subjects:	Acceleration Computational modeling Convolution convolution neural network Engines Field programmable gate arrays FPGA hardware accelerator MobileNet Schedules
ISSN:	1946-1488
Online Access:	Get full text
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