Programming, Technology, Data Science, Machine Learning, Artificial Intelligence.
samples. The generator and discriminator are trained simultaneously in a competitive manner. The generator tries to fool the discriminator by generating realistic data samples, while the discriminator tries to correctly classify between real and fake data samples. This adversarial training process