Lecture

Gradient Descent: Optimization Techniques

In course

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Description

This lecture covers the optimization techniques related to gradient descent, including the method of gradient, conjugate gradient method, Richardson dynamic, and zig-zag method. It explains the process of finding the optimal solution by iteratively updating the parameters based on the gradient of the cost function.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_2b2c5zkv

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Ontological neighbourhood

Mathematics

Analysis: Numerical analysis

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