Generative Adversarial Networks(GANs in short) are unsupervised learning models that belong to a set of algorithms called generative models. These models are typically used to generate information, such as pictures. GANs learn how to mimic the given data distribution. That is, GANs can be taught to create worlds similar to our own in any domain: images, music, speech, prose and thus are extensively used in image generation, video generation and voice generation.

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