Summary: Image Generation with GANs

Explore generative adversarial networks (GANs) and understand their core concepts, variants, and training techniques. Learn to implement models like vanilla GAN, DCGAN, conditional GAN, and Wasserstein GAN with TensorFlow. Discover how progressive GANs generate complex images like fake faces and identify common challenges in GAN training. This lesson builds the foundation for advanced generative AI architectures.