Publication Details

Mapping trained neural networks to FPNNs

KRČMA, M.; KAŠTIL, J.; KOTÁSEK, Z. Mapping trained neural networks to FPNNs. In IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems. Belgrade: IEEE Computer Society, 2015. p. 157-160. ISBN: 978-1-4799-6779-7.
Czech title
Mapování naučených neuronových sítí na FPNN
Type
conference paper
Language
English
Authors
Krčma Martin, Ing., Ph.D. (UFYZ)
Kaštil Jan, Ing., Ph.D.
Kotásek Zdeněk, doc. Ing., CSc.
Keywords

FPNA, FPNN, Artificial neural networks, FPGA

Abstract

This paper introduces a set of methods for mapping the trained neural networks into the lighted grid structured Field Programmable Neural Networks without the use of a training data set. These methods use information obtained from original neural networks such as a network structure, connection weights and biases. The principles of these mapping methods are described and the used grid FPNNs are explained. The results of experiments are presented and summarized.

Published
2015
Pages
157–160
Proceedings
IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems
ISBN
978-1-4799-6779-7
Publisher
IEEE Computer Society
Place
Belgrade
DOI
EID Scopus
BibTeX
@inproceedings{BUT119876,
  author="Martin {Krčma} and Jan {Kaštil} and Zdeněk {Kotásek}",
  title="Mapping trained neural networks to FPNNs",
  booktitle="IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems",
  year="2015",
  pages="157--160",
  publisher="IEEE Computer Society",
  address="Belgrade",
  doi="10.1109/DDECS.2015.50",
  isbn="978-1-4799-6779-7"
}
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