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image-processing

Gradient descent for image reconstruction

taught

The general iterative tool, x <- x - eta*grad f(x), that solves any differentiable (or subdifferentiable) objective this chapter builds, with no closed form required.

Taught in

Requires

Required by

Nothing in the catalog needs this yet.

Local knowledge map

Local knowledge map

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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.