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Published in:

Volume 8 Issue 11
November-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2111243


Registration ID:
316508

Page Number

c316-c321

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Title

UNLEASHING THE FACTS AND MYTHS ABOUT DEEP LEARNING

Authors

Abstract

Nowadays, Deep Learning is being popular among the computer scientists and Researchers. It is a stimulating field of Machine Learning. It is true to say that Deep Learning is the most effective, supervised, time as well as cost efficient machine learning approach. Deep Learning follows various procedures and topographies that can be applied to a group of complicated problems instead of restricted learning approach. In Deep Learning, multiple layers are used to represent the abstractions of data, just to build computational models. There are few Deep Learning Algorithms such as Generative Adversarial Network, Convolutional Neural Networks and Model Transfers which have changed our perception of information processing completely. Though, there exists an opening of understanding behind this tremendously fast paced domain. The only reason behind this is that it was never represented from a multi-scope perspective previously. Deep Learning methods have made a significant breakthrough with appreciable performance in a wide variety of applications with useful security tools. This led to a wide use of Deep Learning domains in Business, Science and Government. It is further used in adaptive testing, biological image classification, computer vision, cancer detection natural language processing, object detection, face recognition handwriting recognition speech recognition stock market analysis and many more. In this research paper, we focused on the evolution of Deep Learning, its comparison with Machine Learning, different Deep Learning concepts and applications. Also, we are going to address the facts and myths about it. Finally, the paper ends with the conclusion and future aspects.

Key Words

Deep Learning, Machine Learning, Computational Model, Convolutional Neural Network, Generative Adversarial Network, Information Processing

Cite This Article

"UNLEASHING THE FACTS AND MYTHS ABOUT DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.c316-c321, November-2021, Available :http://www.jetir.org/papers/JETIR2111243.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

"UNLEASHING THE FACTS AND MYTHS ABOUT DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppc316-c321, November-2021, Available at : http://www.jetir.org/papers/JETIR2111243.pdf

Publication Details

Published Paper ID: JETIR2111243
Registration ID: 316508
Published In: Volume 8 | Issue 11 | Year November-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.28592
Page No: c316-c321
Country: Bilaspur, Chhatisgarh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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