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  1. Generative Adversarial Network (GAN) - GeeksforGeeks

    • Learn about GAN, a deep learning approach to generative modeling that uses two neural networks, a generator and a discriminator, to produce realistic data. Explore the types, architecture, working, and applicati… 展开

    What Is A Generative Adversarial Network?

    Generative Adversarial Networks (GANs) are a powerful class of neural networks that are used for an unsupervised learning. GANs are made up of two neural networks, a discriminator a… 展开

    GeeksForGeeks
    How Does A Gan Work?

    The steps involved in how a GAN works: 1. Initialization:Two neural networks are created: a Generator (G) and a Discriminator (D). 1.1. G is tasked with creating new dat… 展开

    GeeksForGeeks
    Application of Generative Adversarial Networks

    GANs, or Generative Adversarial Networks, have many uses in many different fields. Here are some of the widely recognized uses of GANs: 1. Image Synthesis and Generation : GA… 展开

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