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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

Unique Identifier

JETIR2011100

Page Number

734-739

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Title

GLANCE ON VARIOUS DEEP LEARNING TECHNIQUES

ISSN

2349-5162

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"GLANCE ON VARIOUS DEEP LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.734-739, November-2020, Available :http://www.jetir.org/papers/JETIR2011100.pdf

Abstract

Abstract : Deep learning (DL) is an area of Artificial Intelligence which has been a part of digitalization solutions that has a major attention in the digital field. This review paper provides a brief overview of deep learning algorithms which are the most popular like, Auto-Encoders, Convolutional Neural Network (CNN), Deep Belief Networks (DBN), Long Short-Term Memory Networks (LSTMs), Restricted Boltzmann Machine (RBM) and Recurrent Neural Networks (RNNs), A brief account of their history, structure, advantages, and limitations is given, followed by a description of their applications, such as object detection, face recognition, action and activity recognition, and human pose estimation. Finally, a brief overview is given of future directions in designing deep learning schemes and the challenges involved within.

Key Words

AutoEncoders, Convolutional Neural Network, Deep Belief Networks, Long Short-Term Memory Networks, Restricted Boltzmann Machine and Recurrent Neural Networks.

Cite This Article

"GLANCE ON VARIOUS DEEP LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp734-739, November-2020, Available at : http://www.jetir.org/papers/JETIR2011100.pdf

Publication Details

Published Paper ID: JETIR2011100
Registration ID: 303363
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 734-739
ISSN Number: 2349-5162

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Cite This Article

"GLANCE ON VARIOUS DEEP LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp734-739, November-2020, Available at : http://www.jetir.org/papers/JETIR2011100.pdf




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