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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" }