Gradient Descent • Mathematical Simulation • 2021

Gradient descent is an algorithm used to find the local minimum values of functions.

Lifted materials from these old R&D “snowballs”.

Animated 3D illustration for a Quanta Magazine article about gradient descent, by Nick Thieme: Computer Scientists Discover Limits of Major Research Algorithm
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Read the article: https://tinyurl.com/QMgradientDescent2021
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