Deep Learning - Diffusion Models - Lecture 8

Explore diffusion models in this 43-minute lecture from the AI Doctoral Academy's Deep Learning short course series. Learn the fundamental concepts, mathematical foundations, and practical applications of diffusion models, a powerful class of generative models that have revolutionized image synthesis and other creative AI tasks. Understand how these models work by gradually adding noise to data during training and then learning to reverse this process to generate new samples. Discover the key algorithms, training procedures, and architectural considerations that make diffusion models effective for high-quality content generation. Gain insights into the theoretical underpinnings and practical implementation details that have made diffusion models a cornerstone of modern generative artificial intelligence.