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

10.1109/DDECS.2015.50

EID Scopus

2-s2.0-84954193841

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"
}