UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 9
September-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2309540


Registration ID:
525306

Page Number

f328-f333

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Title

An Experimental-Based Review of Deep Learning in Multiclass Domains

Abstract

Artificial intelligence (AI) is in a thriving phase, with machine learning emerging as a promising avenue towards achieving strong AI. Deep learning, a subset of machine learning, is gaining increasing popularity and success in various AI applications. Deep learning, a subset of machine learning and artificial intelligence, plays a central role in the Fourth Industrial Revolution (Industry 4.0). It stems from artificial neural networks and is known for its data-driven learning abilities. This paper projects an overview and the experimental results of deep learning methods in various studies across multi domains.

Key Words

Machine Learning, Deep Learning, Artificial Neural Networks, Health care, Text Analysis

Cite This Article

"An Experimental-Based Review of Deep Learning in Multiclass Domains", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.f328-f333, September-2023, Available :http://www.jetir.org/papers/JETIR2309540.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Experimental-Based Review of Deep Learning in Multiclass Domains", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppf328-f333, September-2023, Available at : http://www.jetir.org/papers/JETIR2309540.pdf

Publication Details

Published Paper ID: JETIR2309540
Registration ID: 525306
Published In: Volume 10 | Issue 9 | Year September-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36317
Page No: f328-f333
Country: Ibrahimpatnam, Ranga Reddy District, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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