Publication Details

Energy Complexity Model for Convolutional Neural Networks

ŠÍMA Jiří, VIDNEROVÁ Petra and MRÁZEK Vojtěch. Energy Complexity Model for Convolutional Neural Networks. In: Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Heraklion, 2023, pp. 186-198. ISBN 978-3-031-44203-2.

Type

conference paper

Language

english

Authors

Šíma Jiří, doc. RNDr., DrSc. (ICS CAS)
Vidnerová Petra (ÚI AV ČR)
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT)

Published

2023

Pages

186-198

Proceedings

Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks

Series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Conference

International Conference on Artificial Neural Networks, Heraklion, Crete, GR

ISBN

978-3-031-44203-2

Place

Heraklion, GR

DOI

10.1007/978-3-031-44204-9_16

EID Scopus

2-s2.0-85174598686

BibTeX

@INPROCEEDINGS{FITPUB13037,
   author = "Ji\v{r}\'{i} \v{S}\'{i}ma and Petra Vidnerov\'{a} and Vojt\v{e}ch Mr\'{a}zek",
   title = "Energy Complexity Model for Convolutional Neural Networks",
   pages = "186--198",
   booktitle = "Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks",
   series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
   year = 2023,
   location = "Heraklion, GR",
   ISBN = "978-3-031-44203-2",
   doi = "10.1007/978-3-031-44204-9\_16",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13037"
}