0573359 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Šíma, Jiří - Cabessa, JérémieEnergy Complexity of Fully-Connected Layers.
Advances in Computational Intelligence. IWANN 2023 Proceedings, Part I. Cham: Springer, 2023 - (Rojas, I.; Joya, G.; Catala, A.), s. 3-15. Lecture Notes in Computer Science, 14134. ISBN 978-3-031-43084-8. ISSN 0302-9743.
[IWANN 2023: International Work-Conference on Artificial Neural Networks /17./. Ponta Delgada (PT), 19.06.2023-21.06.2023]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Convolutional neural networks * Energy complexity * Dataflow
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-43085-5_1
Trvalý link: https://hdl.handle.net/11104/0343823
