COMPUTING PLATFORMS FOR DEEP LEARNING TASK IN COMPUTER VISION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136559" target="_blank" >RIV/00216305:26220/20:PU136559 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
COMPUTING PLATFORMS FOR DEEP LEARNING TASK IN COMPUTER VISION
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings II of the 26th Conference STUDENT EEICT 2020
ISBN
978-80-214-5868-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
171-175
Publisher name
Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
Event location
BRNO
Event date
Apr 23, 2020
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000598376500040