A generative Adversarial Network (GAN) is a powerful algorithm of Deep Learning. Generative Adversarial Network is used in Image Generation, Video Generation, and Audio Generation. In short, GAN is a Robot Artist, who can create any kind of art perfectly. And in this Generative Adversarial Networks (GANs) Specialization, you will learn how to build basic GANs using PyTorch and advanced DCGANs using convolutional layers. You will use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation. There are 3 courses in this Specialization program where you will gain hands-on experience in GANs. Now, let's see all the 3 courses of this Specialization Program-
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Do you have a question, "How is Udacity Data Analyst Nanodegree?"… If yes, then this article will help you and clear your doubts. In this article, you will get to know all details regarding Udacity Data Analyst Nanodegree. So give your few minutes to this Udacity Data Analyst Nanodegree Review to get your answer. Now without any further ado, let's get started- The answer depends upon various factors like the projects covered, quality of the content, the support provided, time to complete, price of the Nanodegree program, and the instructors.