Exploring Intuition Behind Reverse Mode Algorithmic Differentiation Ad
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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.
- Additional Resources Here are some online tutorials that cover this material (ordered from less to more detail) ...
- Some history and motivation with an example.
- intro to
- operator overloading vs source code transformation, demonstration contrasting these approaches,
In-Depth Information on Intuition Behind Reverse Mode Algorithmic Differentiation Ad
By far not a complete story on This short tutorial covers the basics of Companion to the Stepanov series by Alex Towell Read the series: https://metafunctor.com/series/stepanov/ Chapters: 0:00 ... https://icfp21.sigplan.org/details/FHPNC-2021-papers/1/
Describe basics of how
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