BoltzmannEntropy/DDPM
Book: The Art and Science of Diffusion Models in Generative AI
This textbook provides graduate students in physics and computer science with a deep understanding of Denoising Diffusion Probabilistic Models (DDPMs) for generative AI. It explains complex mathematical and physical concepts in a conversational tone, providing theoretical knowledge along with programming projects. The book takes in foundational concepts like Brownian motion and outputs the ability to develop and implement advanced generative AI models.
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Use this if you are a graduate student or professional who needs a comprehensive, focused textbook to master diffusion models and their practical applications in generative AI, complete with solved problems and coding projects.
Not ideal if you are looking for a quick reference guide or an introductory overview of generative AI that covers multiple model types beyond just diffusion models.
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Sep 17, 2024
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