05 - GANs (Generative Adversarial Networks): Generating Synthetic Data

Discover how GANs generate realistic data: two networks in competition (generator vs discriminator). Applications: synthetic images, data augmentation, domain transfer. Challenges: training instability, mode collapse. Variants: Conditional GAN, Cycle...