UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 8
August-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2208522


Registration ID:
501723

Page Number

f231-f234

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Title

Object Construction Using Deep Learning

Abstract

Corrupted images are very common in people’s daily lives. A lot of factors are the culprit for making an image gets corrupted. Images, when subjected to a different environment such as high temperature, watery environment, corrosive environment, etc, faces change in the hardware properties and thus can change the data stored on it. Sometimes the hard copy of the images loses its color and becomes dull due to exposure to a hot and humid climate. The dust and other pollutants also affect the quality of the images. One of the latest emerging technologies is used to achieve the purpose. Generative Adversarial Networks have gained more popularity due to their ability to give the machine the power to imagine and create new objects. The trained model can be used to complete the missing details in the image. One of the main problems with this technology is that the GANs are very unstable to train. Some of the main issues include vanishing gradient problems and mode collapse.

Key Words

GAN model, vanishing gradient, mode collapse, convolutional networks, Wasserstein GAN

Cite This Article

"Object Construction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.f231-f234, August-2022, Available :http://www.jetir.org/papers/JETIR2208522.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

"Object Construction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppf231-f234, August-2022, Available at : http://www.jetir.org/papers/JETIR2208522.pdf

Publication Details

Published Paper ID: JETIR2208522
Registration ID: 501723
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: f231-f234
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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