Lecture

Gradient Descent: Optimization

Description

This lecture covers the concept of gradient descent for optimization, focusing on finding the direction towards the solution by minimizing the distance between the current point and the optimal point. The instructor explains the derivative of the norm, the gradient of a function, and how to apply gradient descent in continuous time processes.

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Official source

https://mediaspace.epfl.ch/media/0_wat4sz0h

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Ontological neighbourhood

Mathematics

Analysis: Calculus

Information engineering

Machine learning: Artificial neural networks

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