Lecture

Gradient Descent

In course

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Description

This lecture covers the concept of gradient descent, a universal algorithm used to find the minimum of a function. It explains the process of initialization, learning rate, and step size, along with the application of gradient descent in regularization and loss functions.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_snjjo9ih

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Ontological neighbourhood

Statistics

Data analysis: Cross-validation

Statistical inference: Mathematical statistics

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