Difference between revisions of "Gradient Descent"
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Revision as of 15:51, 31 March 2011
Gradient Descent is a method to find local minimum or maximum of an optimization of a function, in which we steps are taken in direction and proportional to negative or positive of gradient of the function we are optimizing. Wiki Link
