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1. Introduction Generative Adversarial Networks (GANs) are models that learn through the adversarial interplay of two neural networks: a Generator and a Discriminator. This structure has garnered significant attention in various advanced deep learning applications, such as image generation, transformation, and style transfer. In this article, we will explore the basic principles of GANs using … 더 보기 ""