Computer scienceData scienceMachine learningIntroduction to deep learningOptimizers

Gradient descent with momentum

Escaping local minima

Report a typo

Which characteristic of gradient descent with momentum makes it effective in escaping local minima?

Select one option from the list

Faster convergence

Reduced oscillations

The ability to accumulate past gradients

Enhanced resistance to saddle points

___

Create a free account to access the full topic