摘要
Convolutional Neural Network (CNN) is an algorithm widely used in the field of deep learning. Due to the large number of intensive parallel data operations, the use of CPU to implement the CNN serially consumes too much time. In view of the above research background, the System-on-a-Programmable-Chip (SOPC) implementation and acceleration modules of CNN are designed by using the Zynq-7035 development platform launched by Xilinx as the experimental platform. The experiment results show that our method is effective and efficiency for the target image classification on the development platform.
源语言 | 英语 |
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主期刊名 | ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(电子版) | 9781728123455 |
DOI | |
出版状态 | 已出版 - 12月 2019 |
活动 | 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, 中国 期限: 11 12月 2019 → 13 12月 2019 |
出版系列
姓名 | ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 |
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会议
会议 | 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 |
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国家/地区 | 中国 |
市 | Chongqing |
时期 | 11/12/19 → 13/12/19 |
指纹
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Feng, X., Jia, M., & Chen, H. (2019). SOPC-based Implementation of Convolutional Neural Network. 在 ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 文章 9173337 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9173337