<ul><li>GANs, or Generative Adversarial Networks, are neural networks that consist of a Generator and a Discriminator.</li><li>The Generator tries to create realistic data, while the Discriminator judges whether the data is real or fake.</li><li>GANs learn through a process of competition and optimization, resulting in the Generator producing data that can fool even human eyes.</li><li>GANs have various applications in entertainment, fashion, healthcare, and art, but also come with challenges and ethical concerns.</li></ul>

The Marvelous World of GANs: Teaching Machines to Dream in Pixels

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