Assertion: gradient descent | /r/CapableOf | find local or globalminimum
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Source sentences:
text: For a given function J defined by a set of parameters ( ), gradient descent finds a local (or global) minimum by assigning an initial set of values to the parameters and then iteratively keeps changing those values proportional to the negative of the gradient of the function.