Diffusion Models in Machine Learning - Lecture 16
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
Explore the fascinating world of diffusion models in this comprehensive lecture from MIT's 6.5940 course on Efficient Machine Learning. Delve into the intricacies of this powerful generative modeling technique as Professor Song Han guides you through its principles and applications. Learn how diffusion models work, their advantages over other generative approaches, and their impact on various fields such as image generation and text-to-image synthesis. Gain insights into the mathematical foundations, training processes, and inference techniques that make diffusion models so effective. Discover real-world applications and cutting-edge research in this rapidly evolving area of machine learning. Access accompanying slides for enhanced understanding and follow-up study.
Syllabus
EfficientML.ai Lecture 16 - Diffusion Model (MIT 6.5940, Fall 2023)
Taught by
MIT HAN Lab
Related Courses
Generative Adversarial Networks - ComputerphileComputerphile via YouTube Interpreting Deep Generative Models for Interactive AI Content Creation
Bolei Zhou via YouTube Exploring and Exploiting Interpretable Semantics in GANs - CVPR 2020 Tutorial
Bolei Zhou via YouTube Autoencoders Explained Easily
Valerio Velardo - The Sound of AI via YouTube All Things VQGAN - AutoEncoder with Latent Space and Reconstruction Error - Part 1
Prodramp via YouTube