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.
We'll cover the following...
We'll cover the following...
In this chapter, we were introduced to a new class of generative models called generative adversarial networks. Inspired by concepts of game theory, GANs present an implicit method of modeling the data generation probability density. We started the chapter by first ...