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Hardware implementation of hyperbolic tangent and sigmoid activation functions

机译:双曲线切线和SIGMOID激活功能的硬件实现

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This paper presents the high accuracy hardware implementation of the hyperbolic tangent and sigmoid activation functions for artificial neural networks.A kind of a direct implementation of the functions in a few different versions is proposed and investigated both by software and hardware modeling.A single precision floating point arithmetic is applied.Apart from conventional design style with hardware description language coding,high level synthesis design techniques with the Matlab HDL coder and Xilinx Vivado HLS have also been investigated.
机译:本文介绍了人工神经网络双曲正切和S形激活函数的高精度硬件实现。提出了一种在几个不同版本中直接实现这些功能的方法,并通过软件和硬件建模进行了研究。采用单精度浮点算法。除了硬件描述语言编码的传统设计风格外,还研究了Matlab HDL编码器和Xilinx Vivado HLS的高级综合设计技术。

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