Understanding Generative Adversarial Networks (GANs)

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Generative Adversarial Networks (GANs) are a type of artificial intelligence algorithm, which has 2 different Neural Networks compete against each to gain knowledge.They can be can used to generate realistic photographs of objects, nature and even human faces, with real world applications including removing noise from astrophysical images, or enhancing photos. You know how in movies, the FBI always does that cool zoom on a photo of a suspect? GANs can be used to actually do that! This course shows you how to implement GANs using Python.
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How do you do the backpropagation with the Generator? With which data?

timgreller
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thanks for the vid. can you use this GAN in R progrmming? thanks again

im_karamo