Explore the fundamentals of Denoising Diffusion Probabilistic Models (DDPM) in this comprehensive lecture from a Fall 2023 deep learning course. Gain insights into how these generative models operate by progressively refining data through a reverse diffusion process. Learn about generative moment matching networks and understand how Maximum Mean Discrepancy (MMD) functions as a tool for measuring distribution distances. Master key concepts in modern generative modeling approaches while building a strong foundation in deep learning principles through detailed explanations and theoretical frameworks.
Denoising Diffusion Probabilistic Models and Generative Moment Matching Networks - Lecture 17
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Overview
Syllabus
Ali Ghodsi, Deep Learning, Diffusion Models, DDPMs, Fall 2023, Lecture 17
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