GANs1 Generative Adversarial Networks (GANs) Generative Adversarial Networks (GANs) are a type of deep learning architecture designed to generate new and realistic data samples, such as images, sounds, and text, by training on a large dataset. Working Principle GANs consist of two components: a generator and a discriminator. The generator takes random noise as input and generates new samples. The discriminator, on the other hand, takes bot.. 2023. 2. 6. 이전 1 다음
