Publication detail
Mapping trained neural networks to FPNNs
KRČMA, M. KAŠTIL, J. KOTÁSEK, Z.
Original Title
Mapping trained neural networks to FPNNs
Type
conference paper
Language
English
Original 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.
Keywords
FPNA, FPNN, Artificial neural networks, FPGA
Authors
KRČMA, M.; KAŠTIL, J.; KOTÁSEK, Z.
RIV year
2015
Released
22. 4. 2015
Publisher
IEEE Computer Society
Location
Belgrade
ISBN
978-1-4799-6779-7
Book
IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems
Pages from
157
Pages to
160
Pages count
4
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"
}