ECE 214Deep Generative Models
This course will cover the fundamentals and state of the art of deep generative models, including large language models, diffusion models, generative adversarial networks, variational autoencoders, etc. Recommended prerequisites: Foundational knowledge in deep learning, probability, and statistics.
Prerequisites
From the catalog: “graduate standing.”