0573373 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
Šíma, Jiří - Vidnerová, Petra - Mrázek, V.Energy Complexity Model for Convolutional Neural Networks.
Artificial Neural Networks and Machine Learning – ICANN 2023. Proceedings, Part X. Cham: Springer, 2023 - (Iliadis, L.; Papaleonidas, A.; Angelov, P.; Jayne, C.), s. 186-198. Lecture Notes in Computer Science, 14263. ISBN 978-3-031-44203-2. ISSN 0302-9743.
[ICANN 2023: International Conference on Artificial Neural Networks /32./. Heraklion (GR), 26.09.2023-29.09.2023]
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Convolutional neural networks * Energy complexity * Dataflow
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-44204-9_16
Permanent Link: https://hdl.handle.net/11104/0343835
