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The fast.ai courses are exceptionally good for getting started and learning the concepts, but, once you've mastered an intuitive understanding of the techniques, I highly encourage people to dig deeper into the concepts - specifically, reverse SDEs, stochastic calculus, optimization, score matching.

Jeremy does an excellent job making the content approachable, but, if you want to go beyond being an excellent practicioner, you cannot skip the theory bits.

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FYI this course does cover a lot of intuitive understanding of techniques, but it also does cover this theory. Everything is done from the foundation level, and all of the stuff you mentioned is taught and implemented from scratch as part of the course.

Of course there's loads more to do on gaining intuition, and loads more theory to be learned once the course is done! Only so much can fit in a single course :)

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