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Cloud Powered Deep Learning-Emerging Trends

Srinivas Jagirdar1 , K. Venkata Subba Reddy2 , Ahmed Abdul Moiz Qyser3

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-6 , Page no. 186-190, Jun-2016

Online published on Jul 01, 2016

Copyright © Srinivas Jagirdar, K. Venkata Subba Reddy , Ahmed Abdul Moiz Qyser . 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: Srinivas Jagirdar, K. Venkata Subba Reddy , Ahmed Abdul Moiz Qyser, “Cloud Powered Deep Learning-Emerging Trends,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.186-190, 2016.

MLA Style Citation: Srinivas Jagirdar, K. Venkata Subba Reddy , Ahmed Abdul Moiz Qyser "Cloud Powered Deep Learning-Emerging Trends." International Journal of Computer Sciences and Engineering 4.6 (2016): 186-190.

APA Style Citation: Srinivas Jagirdar, K. Venkata Subba Reddy , Ahmed Abdul Moiz Qyser, (2016). Cloud Powered Deep Learning-Emerging Trends. International Journal of Computer Sciences and Engineering, 4(6), 186-190.

BibTex Style Citation:
@article{Jagirdar_2016,
author = {Srinivas Jagirdar, K. Venkata Subba Reddy , Ahmed Abdul Moiz Qyser},
title = {Cloud Powered Deep Learning-Emerging Trends},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2016},
volume = {4},
Issue = {6},
month = {6},
year = {2016},
issn = {2347-2693},
pages = {186-190},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=988},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=988
TI - Cloud Powered Deep Learning-Emerging Trends
T2 - International Journal of Computer Sciences and Engineering
AU - Srinivas Jagirdar, K. Venkata Subba Reddy , Ahmed Abdul Moiz Qyser
PY - 2016
DA - 2016/07/01
PB - IJCSE, Indore, INDIA
SP - 186-190
IS - 6
VL - 4
SN - 2347-2693
ER -

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Abstract

Cloud Computing is making inroads into other areas of research. Advanced research area like Deep Learning is now not limited to just huge organizations. Cloud Computing is making it easy for even small researchers to have a go at Deep Learning. One needs to just harness the unlimited Computing power the Cloud offers. This paper presents a review of Deep Learning, opportunities & Challenges of Deep Learning .The paper also throws light on the role of Cloud Computing in Deep Learning.

Key-Words / Index Term

Deep Learning, Machine Learning, Cloud Computing, Deep Clouds

References

[1] G Hinton, S Osindero and Y The “A fast learning algorithm for deep belief nets”, Neural Computation, vol. 18, pp. 1527-1554, 2006.
[2] Y Bengio “Learning deep architectures for AI”, Foundations and Trends in Machine Learning, Vol. 2, No. 1, 2009, pp. 1- 127.
[3] Y Bengio, N Boulanger, and R Pascanu. “Advances in optimizing recurrent networks,” Proc. ICASSP, 2013.
[4] Y Bengio, A Courville and P Vincent,“Representation learning: A review and new perspectives,” IEEE Trans. PAMI, 2013a.
[5] Li Deng, “A Tutorial Survey of Architectures, Algorithms, and Applications for Deep Learning” ,APSIPA-Transactions on Signal and Information Processing, 2012.
[6] L Deng, D Yu and J Platt “Scalable stacking and learning for building deep architectures”, Proc. of International Conference on Acoustics, Speech and Signal Processing , 2012a.
[7] Peter Mell and Timothy Grance, “The NIST Definition of Cloud Computing”, SP 800-145, September 2011.
[8] J. Srinivas, K. Venkata Subba Reddy and Dr. A. A. Moiz Qyser, “Cloud Computing Basics” , International Journal of Advanced Research in Computer and Communication Research, ISSN: 2278-1021, pp 343-347, Vol 1, Issue 5, July 2012.
[9] Fang Liu, Jin Tong, Jian Mao, Robert Bohn, John Messina, Lee Badger and Dawn Leaf “NIST Cloud Computing Reference Architecture”, Special Publication 500-292.
[10] Y Bengio, “Learning deep architectures for AI,” in Foundations and Trends in Machine Learning, Vol. 2, No. 1, pp. 1- 127, 2009.
[11] Li Deng, Xiaodong He, Jianfeng Gao, “Deep stacking networks for information retrieval”, IEEE International conference on Acoustics speech and signal processing, 2013.
[12] Isra Masood, Ankur Bhardwaj and Pushpneel Verma, "Barriers Faced In Cloud Computing Adoption", International Journal of Computer Sciences and Engineering, Volume-04, Issue-04, Page No (82-85), Apr -2016, E-ISSN: 2347-2693
[13] Zachary Chase Lipton, “Cloud Machine Learning Wars: Amazon vs IBM Watson Vs Microsoft Azure”, UC SD.
[14] George Lawton, “Google Brings Deep Learning to the Cloud”, IEEE INTELLIGENT SYSTEMS September/October 2012 .
[15] B. Kwolek, “Face detection using convolution neural networks and Gabor filters”, in Lecture Notes in Computer Science, vol. 3696. 2005, p. 551