Deep Learning, Artificial Intelligence, Gan, Generative Adversarial, Generative Ai.
generator Gi, a discriminator Di, which takes a real image xi or a fake sample si as input, is trained to classify inputs into two classes (real or fake) by minimizing the following cross-entropy loss: The multiple discriminators are trained in parallel, and each of them focuses on a single image