Lesson 19: Deep Learning Foundations to Stable Diffusion

(All lesson resources are available at http://course.fast.ai.) In this lesson, Jeremy introduces Dropout, a technique for improving model performance, and with special guests Tanishq and Johno he discusses Denoising Diffusion Probabilistic Models (DDPM), the underlying foundational approach for diffusion models. The lesson covers the forward and reverse processes involved in DDPM, as well as the implementation of a noise predicting model using a neural network. The team also demonstrate an alternative approach to the implementation and discuss ways to improve …

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