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The principles behind Differentiable Programming - Erik Meijer
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Nov 20, 2020
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samuell on
Differentiable programming for gradient-based machine learning
This talk by Eric Meijer got me intrigued of the subject ... (Based on this talk, I think I almost understood it for an hour or two):"The principles behind Differentiable Programming - Erik Meijer" https://www.youtube.com/watch?v=lk0PhtSHE38
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⬐ aaron-santosWhile deep learning is a natural application for differentiable programming, I have a suspicion that procedural generation can have its entire foundation shifted to differentiable programing too. Excited to see how these concepts bubble up in other problem domains in the next few years.⬐ adamnemecekTldr: calculus is cool