Computer scienceData scienceMachine learningIntroduction to deep learningOptimizers

Gradient descent with momentum

Impact of momentum coefficient

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In gradient descent with momentum, how does the momentum coefficient ( $\beta$ ) affect the algorithm's behavior?

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Higher values of

\beta

result in faster convergence.

\beta

has no effect on the algorithm's behavior.

Lower values of

\beta

lead to more oscillations in the optimization process.

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