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58:11
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Vizuara
Lecture 1 - Deep Generative Modeling | Principles of Diffusion Models
Deep generative models (DGMs) are neural networks that learn a probability distribution over high-dimensional data (e.g., images, text, audio) so they can generate new examples that resemble the dataset. We understand the basic foundational concepts behind deep generative models. Later we look at the set of prominent deep generative models ...
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