FPGA,

Maruf Ahmad1, Lei Zhang1, Muhammad E H Chowdhury2

  • 1Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, Canada.

PubMed
概括

本研究介绍了一种新的复杂值神经网络 (CVNN) 在现场可编程门数组 (FPGA) 上,用于高效的图像分类. 基于FPGA的CVNN实现了卓越的速度和功率效率,优于关键应用的现有模型.

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