High-Performance and Low-Cost Approximation of ANN Sigmoid Activation Functions on FPGAs
Author:
Affiliation:
1. Frederick University,Department of Electrical Engineering, Computer Engineering and Informatics,Nicosia,Cyprus
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10176331/10176367/10176636.pdf?arnumber=10176636
Reference18 articles.
1. Digital Implementation of the Sigmoid Function for FPGA Circuits;tisan;Acta Technica Napocensis - Electronics and Telecommunications,2009
2. FPGA Implementation of a Trained Neural Network;singh;IOSR Journal of Electronics and Communication Engineering (IOSR-JECE),2015
3. Efficient Sigmoid Function for Neural Networks Based FPGA Design
4. A comparative investigation of non-linear activation functions in neural controllers for search-based game AI engineering
5. Two-Steps Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array;ngah;ARPN Journal of Engineering and Applied Sciences,2016
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Efficient Neural Networks on the Edge with FPGAs by Optimizing an Adaptive Activation Function;Sensors;2024-03-13
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