Original title: Computing Platforms For Deep Learning Task In Computer Vision
Authors: Kratochvila, Lukas
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The recent progress in machine learning in computer vision guides to enormous hardware requirements. This paper discovers new innovative hardware capable of dealing with immense demands. The important decision is concentrating on task learning or the final classification. 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. Furthermore, different delivery models of cloud computing are addressed.
Keywords: Cloud computing; Deep learning; Hardware
Host item entry: Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected papers, ISBN 978-80-214-5868-0

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/200647

Permalink: http://www.nusl.cz/ntk/nusl-447699


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
 Record created 2021-07-25, last modified 2021-08-22


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