Publication Details

Mapping trained neural networks to FPNNs

KRČMA Martin, KAŠTIL Jan and KOTÁSEK Zdeněk. 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, pp. 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. (DCSY FIT BUT)
Kaštil Jan, Ing. (DCSY FIT BUT)
Kotásek Zdeněk, doc. Ing., CSc. (DCSY FIT BUT)

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

Conference

IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems 2015, Belgrade, RS

ISBN

978-1-4799-6779-7

Publisher

IEEE Computer Society

Place

Belgrade, RS

DOI

10.1109/DDECS.2015.50

EID Scopus

2-s2.0-84954193841

BibTeX

@INPROCEEDINGS{FITPUB10918,
   author = "Martin Kr\v{c}ma and Jan Ka\v{s}til and Zden\v{e}k Kot\'{a}sek",
   title = "Mapping trained neural networks to FPNNs",
   pages = "157--160",
   booktitle = "IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems",
   year = 2015,
   location = "Belgrade, RS",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-4799-6779-7",
   doi = "10.1109/DDECS.2015.50",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10918"
}