Detail publikace

COMPUTING PLATFORMS FOR DEEP LEARNING TASK IN COMPUTER VISION

KRATOCHVÍLA, L.

Originální název

COMPUTING PLATFORMS FOR DEEP LEARNING TASK IN COMPUTER VISION

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The recent progress in machine learning in computer vision guides to enormous hardware requirements. This paper discovers new innovative hardware capable to deal with immense demands.The main concern is on five domains: single-board computers, hardware accelerators, graphics cards, workstations, and cloud computing. These devices have several key features for detection that are discussed. Cloud computing is another presented approach. Different delivery models of cloud computing are addressed.

Klíčová slova

Deep learning; Hardware; Cloud computing

Autoři

KRATOCHVÍLA, L.

Vydáno

23. 4. 2020

Nakladatel

Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5868-0

Kniha

Proceedings II of the 26th Conference STUDENT EEICT 2020

Strany od

171

Strany do

175

Strany počet

5

BibTex

@inproceedings{BUT164115,
  author="Lukáš {Kratochvíla}",
  title="COMPUTING PLATFORMS FOR DEEP LEARNING TASK IN COMPUTER VISION",
  booktitle="Proceedings II of the 26th Conference STUDENT EEICT 2020",
  year="2020",
  pages="171--175",
  publisher="Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5868-0"
}