Gans, Generative Adversarial, Artificial Intelligence, Data Science, Network.
generating fake data, while the discriminator tries to maximize its accuracy in distinguishing real from generated data. This dynamic equilibrium is reached when the generator’s output is indistinguishable from real data, rendering the discriminator ineffective. During training, GANs face numerous