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  • A 'new" way to compute derivatives at the machine precision with very modest overhead.
  • In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
  • This short tutorial covers the basics of automatic differentiation, a set of techniques that allow us to efficiently compute derivatives ...
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Some history and motivation with an example. By far not a complete story on Companion to the Stepanov series by Alex Towell Read the series: https://metafunctor.com/series/stepanov/ Chapters: 0:00 ... ... 2022-01-04 Video Tags:

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