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  • In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
  • Automatic differentiation
  • Companion to the Stepanov series by Alex Towell Read the series: https://metafunctor.com/series/stepanov/ Chapters: 0:00 ...
  • Additional Resources Here are some online tutorials that cover this material (ordered from less to more detail) ...
  • Lecture 4 of the online course Deep Learning Systems: Algorithms and Implementation. This lecture introduces

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By far not a complete story on This short tutorial covers the basics of MLFoundations #Calculus #MachineLearning This video introduces what See updated video here: https://www.microsoft.com/en-us/research/video/from-

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

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