Paper Title
Deep fake Generator
Article Identifiers
Authors
Rahul Sharma , Sanskar singhal , Sonal Choudhary , Deepak moud
Keywords
Media copyright, advertisement, Deep-Fake, Convolutional Neu- ral Network(CNN), Deep Neural Networks (DNN),Deep Convolutional Neural Network(DCCGAN),Recurrant Neural Netowrk(RNN), Generative Adversarial Networks (GANs).
Abstract
Technological evaluation puts us at a really advanced stage nowadays. Over the last few decades, we have become in- increasingly reliant on machines. With the development of machine learning and artificial intelligence, machines have become smarter and can perform a greater variety of actions. There are synthetic media, such as photographs, videos, and audio files, that are used for a variety of reasons. In the past, media manipulation has always involved humans and has been heavily reliant on their needs. Deep-Fakes mainly refer to face swapping or making fake appearances of facial features of any human being. Recent developments in machine learning, deep learn- ing, and artificial intelligence (AI) enable users to swap the faces and voices of other people in images, videos, and films to make it appear as though they did something or are saying anything they want to refers to audio files manipulation. This technology is known as "deep-fake," which allows media manipulation using machine learning and AI.
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How To Cite
"Deep fake Generator ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e152-e156, April-2023, Available :https://ijnrd.org/papers/IJNRD2304422.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : e152-e156
Other Publication Details
Paper Reg. ID: IJNRD_191383
Published Paper Id: IJNRD2304422
Downloads: 000121196
Research Area: Engineering
Country: Bhilwara, Rajasthan , india
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304422.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304422
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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