Concept constellation

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Gradient descent

Does taking a bigger step always get you to the bottom faster?

Change the start and step size on computed 3D loss surfaces, then see how each local next step builds paths that converge, diverge, cross a valley, or enter a local-minimum trap.

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6 connecting questions

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You are here

Gradient descent

Does taking a bigger step always get you to the bottom faster?

Change the start and step size on computed 3D loss surfaces, then see how each local next step builds paths that converge, diverge, cross a valley, or enter a local-minimum trap.

Open visualisation

6 connecting questions

All thirteen concepts