返回
High accuracy FPGA activation function implementation for neural networks
DOI:10.1016/j.neucom.2017.03.044.png)
摘要
En 中文
This letter shortly presents an FPGA implementation method of the hyperbolic tangent and sigmoid activation functions for artificial neural networks. A kind of a direct implementation of the functions is proposed. The implementation results show that the obtained accuracy of the method is relatively high compared to other published solutions. (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
FPGA
Hyperbolic tangent
Sigmoid
Floating point arithmetic
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W

