Deep Generative Models - Lectures 2 and 3
Offered By: Probabilistic AI School via YouTube
Course Description
Overview
Explore advanced concepts in deep generative models through this comprehensive lecture series from the Nordic Probabilistic AI School (ProbAI) 2023. Delve into cutting-edge techniques presented by experts Rianne van den Berg, Chin-Wei Huang, and Victor Garcia Satorras. Learn about the latest developments in generative AI, including advanced architectures, training methods, and applications. Access accompanying materials on GitHub to enhance your understanding and practical skills. Benefit from professionally edited content, complete with engaging sound effects, to maximize your learning experience in this hour-long deep dive into the world of probabilistic AI and generative modeling.
Syllabus
Deep Generative Models 2 and 3 by Rianne van den Berg, Chin-Wei Huang and Victor Garcia Satorras
Taught by
Probabilistic AI School
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX