Deep Learning Applications

Cao, L

Deep Learning Applications

Cao, L

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Publisher:: IEEE COMPUTER SOC
Publication Type:: Journal Article
Citation:: IEEE Intelligent Systems, 2022, 37, (3), pp. 3-5
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429
dc.date.accessioned	2023-03-21T04:40:25Z
dc.date.available	2023-03-21T04:40:25Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Intelligent Systems, 2022, 37, (3), pp. 3-5
dc.identifier.issn	1541-1672
dc.identifier.issn	1941-1294
dc.identifier.uri	http://hdl.handle.net/10453/167947
dc.description.abstract	This issue highlights the technical theme on "Deep Learning Applications,"one of the most active areas in this new age of AI and machine learning. Eight articles demonstrate new progress made in deep representation learning, deep neural network architectures, and their multidomain applications. Three column articles debate on decentralized AI, autonomous racing, and big AI.
dc.language	English
dc.publisher	IEEE COMPUTER SOC
dc.relation.ispartof	IEEE Intelligent Systems
dc.relation.isbasedon	10.1109/MIS.2022.3184260
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0806 Information Systems, 0906 Electrical and Electronic Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Deep Learning Applications
dc.type	Journal Article
utslib.citation.volume	37
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-21T04:40:24Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	37
utslib.citation.issue	3

Abstract:

This issue highlights the technical theme on "Deep Learning Applications,"one of the most active areas in this new age of AI and machine learning. Eight articles demonstrate new progress made in deep representation learning, deep neural network architectures, and their multidomain applications. Three column articles debate on decentralized AI, autonomous racing, and big AI.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/167947