{"id":3151,"date":"2026-08-10T09:02:23","date_gmt":"2026-08-10T09:02:23","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-generative-adversarial-networks-gan-the-complete-guide-2022-3\/"},"modified":"2026-08-10T09:02:23","modified_gmt":"2026-08-10T09:02:23","slug":"udemy-generative-adversarial-networks-gan-the-complete-guide-2022-3","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-generative-adversarial-networks-gan-the-complete-guide-2022-3\/","title":{"rendered":"Udemy \u2013 Generative Adversarial Networks (GAN): The Complete Guide 2022-3"},"content":{"rendered":"
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Descriptions<\/h2>\n

Generative Adversarial Networks (GAN): The Complete Guide, GANs have been one of the most interesting developments in deep learning and machine learning recently. Yann LeCun, a deep learning pioneer, has said that the most important development in recent years has been adversarial training, referring to GANs. GAN stands for generative adversarial network, where 2 neural networks compete with each other. Unsupervised learning means we\u2019re not trying to map input data to targets, we\u2019re just trying to learn the structure of that input data. This course is a comprehensive guide to Generative Adversarial Networks (GANs). The theories are explained in-depth and in a friendly manner. After each theoretical lesson, we will dive together into a hands-on session, where we will be learning how to code different types of GANs in PyTorch and Tensorflow, which is a very advanced and powerful deep learning framework!<\/p>\n

What you\u2019ll learn<\/h3>\n