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Deep Leaning Architectures and its Applications: A Survey

Sanskruti Patel1 , Atul Patel2

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1177-1183, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.11771183

Online published on Jun 30, 2018

Copyright © Sanskruti Patel, Atul Patel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sanskruti Patel, Atul Patel, “Deep Leaning Architectures and its Applications: A Survey,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1177-1183, 2018.

MLA Style Citation: Sanskruti Patel, Atul Patel "Deep Leaning Architectures and its Applications: A Survey." International Journal of Computer Sciences and Engineering 6.6 (2018): 1177-1183.

APA Style Citation: Sanskruti Patel, Atul Patel, (2018). Deep Leaning Architectures and its Applications: A Survey. International Journal of Computer Sciences and Engineering, 6(6), 1177-1183.

BibTex Style Citation:
@article{Patel_2018,
author = {Sanskruti Patel, Atul Patel},
title = {Deep Leaning Architectures and its Applications: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1177-1183},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2322},
doi = {https://doi.org/10.26438/ijcse/v6i6.11771183}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.11771183}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2322
TI - Deep Leaning Architectures and its Applications: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Sanskruti Patel, Atul Patel
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1177-1183
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

In the field of Artificial Intelligence (AI), Deep Learning is a method falls in the wider family of Machine Learning algorithms that works on the principle of learning. Deep learning models basically works without human intervention and they are equivalent, and sometimes even, superior than humans. With the rise of emerging technology, deep learning draws an attention by many researchers and it is widely used in several areas including image, sound and text analysis. The paper discussed deep learning background, types of deep learning architectures and applications from different domains where researchers used deep learning models successfully.

Key-Words / Index Term

Deep Learning, Convolutional Neural Network, Deep Belief Network, Recurrent Neural Network

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