A Novel Method for Scalable VLSI Implementation of Hyperbolic Tangent Function

被引：3
|
作者：
Chandra, Mahesh [1 ]
机构：
[1] NXP Semicond, Noida 201301, India
来源：
IEEE DESIGN & TEST | 2022年 / 39卷 / 01期
关键词：
Deep learning; Table lookup; Biological neural networks; Newton method; Interpolation; Very large scale integration; Taylor series; Artificial neural networks; Neural network; Hyperbolic tangent; nonlinear activation function; VLSI implementation;
D O I：
10.1109/MDAT.2021.3063308
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Editor's notes: Building efficient hardware accelerators to speed up the hardware implementation of deep neural networks (DNNs) continues to present many challenges. This article discusses a novel approach to building hyperbolic tangent and Sigmoid functions that can be easily tuned for different accuracy and precision.-Vivek Chickermane, Cadence
引用
收藏
页码：85 / 91
页数：7
相关论文
共 50 条
  • [31] A Nonconvex Nonsmooth Image Prior Based on the Hyperbolic Tangent Function
    Fang Li
    Xiao-Guang Lv
    Journal of Scientific Computing, 2023, 97
  • [32] A Nonconvex Nonsmooth Image Prior Based on the Hyperbolic Tangent Function
    Li, Fang
    Lv, Xiao-Guang
    JOURNAL OF SCIENTIFIC COMPUTING, 2023, 97 (03)
  • [33] LINEAR-PHASE NETWORKS WITH HYPERBOLIC TANGENT FUNCTION AND THEIR APPLICATIONS
    FURUHATA, T
    OWASHI, H
    TAKAHASHI, H
    YUMDE, Y
    IEEE TRANSACTIONS ON BROADCASTING, 1986, 32 (03) : 62 - 69
  • [34] Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
    Sartin, Maicon A.
    da Silva, Alexandre C. R.
    2013 8TH INTERNATIONAL WORKSHOP ON RECONFIGURABLE AND COMMUNICATION-CENTRIC SYSTEMS-ON-CHIP (RECOSOC), 2013,
  • [35] The research of HPA mathematical model based on hyperbolic tangent function
    Li, Xu
    Wei, Qiu
    Yang, Liu
    2019 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2019), 2019, : 535 - 538
  • [36] Implementation of a Novel architecture for VLSI testing
    Sudhagar, G.
    Kumar, S. Senthil
    Ramesh, G.
    Kumar, G. Sathish
    2013 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN VLSI, EMBEDDED SYSTEM, NANO ELECTRONICS AND TELECOMMUNICATION SYSTEM (ICEVENT 2013), 2013,
  • [37] Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks
    Darío Baptista
    Fernando Morgado-Dias
    Neural Computing and Applications, 2013, 23 : 601 - 607
  • [38] Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks
    Baptista, Dario
    Morgado-Dias, Fernando
    NEURAL COMPUTING & APPLICATIONS, 2013, 23 (3-4): : 601 - 607
  • [39] A novel active disturbance rejection control with hyperbolic tangent function for path following of underactuated marine surface ships
    Li, Ronghui
    Jia, Baozhu
    Fan, Shaoyong
    Pan, Xinxiang
    MEASUREMENT & CONTROL, 2020, 53 (9-10): : 1579 - 1588
  • [40] Design and application of tracking differentiator based on inverse hyperbolic tangent function
    Lu L.
    Wang J.
    Yuan C.
    Wu Y.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2020, 42 (12): : 2875 - 2883
12345