Lecture 7 Part 1: Derivatives of Random Functions
Автор: MIT OpenCourseWare
Загружено: 2023-10-23
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Описание:
MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023
Instructors: Alan Edelman, Steven G. Johnson
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Description: Even if a function f is stochastic (has random numbers in it), we can still define a derivative “on average” (whose expectation value is the derivative of the expectation value of f). For example, for stochastic gradient descent in machine learning.
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