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Generative Adversarial Networks

  • Usman Qamar,
  • Muhammad Summair Raza

摘要

Generative Adversarial Networks are machine learning models that allow us to generate new data in the form of text or images. In this chapter, we will explore the workings of a generic GAN model along with its components. We will examine different types of GAN models and their significance in real-world applications.