Detail publikace

Mapping trained neural networks to FPNNs

KRČMA, M. KAŠTIL, J. KOTÁSEK, Z.

Originální název

Mapping trained neural networks to FPNNs

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

FPNA, FPNN, Artificial neural networks, FPGA

Autoři

KRČMA, M.; KAŠTIL, J.; KOTÁSEK, Z.

Rok RIV

2015

Vydáno

22. 4. 2015

Nakladatel

IEEE Computer Society

Místo

Belgrade

ISBN

978-1-4799-6779-7

Kniha

IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems

Strany od

157

Strany do

160

Strany počet

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"
}