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High accuracy FPGA activation function implementation for neural networks

delete2017-07-01
delete24
PRE
AI
Z
Z. Hajduk *
DOI:10.1016/j.neucom.2017.03.044delete
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摘要

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
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期刊

Neurocomputing 封面图
Neurocomputing
IF:
6.5
论文数:
2.5W
被引数:
6.5W

机构

R
Rzeszow University of Technology
学者数:
1.6K
论文数: 1.8K
被引数: 1.2K
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