Generative Models and Architectures
2 - Generative Models and Architectures
In this chapter, students will delve into the technical foundations of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformer-based models. They will understand the underlying algorithms, the training processes, and the unique strengths and limitations of each model architecture.
Start Chapter