Magomadov V. (Chechen State University (Grozny))
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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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Read the full article …
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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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