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Deep Learning and Generative Adversarial Networks

Magomadov V.   (Chechen State University (Grozny))

this article explores the field of artificial intelligence known as generative-adversarial networks, which is one of the models of machine learning. This area, like machine learning in General, is a very active research topic that has the potential to make a major breakthrough in the field of artificial intelligence. This article explains what generative-adversarial networks are made of and what their purpose is.

Keywords:generative-adversarial networks, artificial intelligence, machine learning, deep learning, neural networks, discriminative models, adversarial networks, algorithms, generator, discriminator
 

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Citation link:
Magomadov V. Deep Learning and Generative Adversarial Networks // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2019. -№07. -С. 106-108
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