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HomeMIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers
Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers
36:02
Description: One simple way to automatically differentiate (AD) computer programs (in “forward mode”) is to define a new kind of number that carries both value and derivative information: dual numbers. A few lines of Julia let us build an AD system!
Instructors: Alan Edelman, Steven G. Johnson