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Deep Generative Models - Normalizing Flows - Lecture 9

Offered By: Stanford University via YouTube

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Deep Generative Models Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Probability Distributions Courses

Course Description

Overview

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Dive into the world of normalizing flows in this 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.

Syllabus

Stanford CS236: Deep Generative Models I 2023 I Lecture 9 - Normalizing Flows


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Stanford Online

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