The Power of Deep Learning Models: Applications
Sameerunnisa SK1, J. Jabez2, V. Maria Anu3
1Sameerunnisa SK, Department of CSE, VJIT, Hyderabad (Telangana), India.
2Dr. J. Jabez, Department of IT, SIST, Chennai (Tamil Nadu), India.
3Dr. V. Maria Anu, Department of CSE, SIST, Chennai (Tamil Nadu), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3700-3705 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14680982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1468.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The extraordinary research in the field of unsupervised machine learning has made the non-technical media to expect to see Robot Lords overthrowing humans in near future. Whatever might be the media exaggeration, but the results of recent advances in the research of Deep Learning applications are so beautiful that it has become very difficult to differentiate between the man-made content and computer-made content. This paper tries to establish a ground for new researchers with different real-time applications of Deep Learning. This paper is not a complete study of all applications of Deep Learning, rather it focuses on some of the highly researched themes and popular applications in domains such Image Processing, Sound/Speech Processing, and Video Processing.
Keywords: Deep Learning.
Scope of the Article: Deep Learning