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Do gradient descent methods of always converge to same point?

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 No, they do not because in some cases it reaches an local minima or a local optima points. You don’t reach to the global optima point. It depends on the data and starting the conditions.

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asked Jan 18, 2020 in Machine Learning by sharadyadav1986 (31.6k points)