Stanford CS236: Deep Generative Models - Lecture 7 - Normalizing Flows

Stanford CS236: Deep Generative Models - Lecture 7 - Normalizing Flows

Dive into the world of normalizing flows in this comprehensive lecture from Stanford University's CS236: Deep Generative Models course. Explore the fundamental concepts and applications of this powerful technique in deep learning, presented by Associate Professor Stefano Ermon. Gain insights into how normalizing flows can be used to transform simple probability distributions into more complex ones, enabling the creation of highly expressive generative models. Follow along with the course materials and deepen your understanding of this advanced topic in artificial intelligence and machine learning.