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For questions related to the concept of learning rate (of an optimization algorithm, such as gradient descent) in machine learning.

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Well, GD terminates once the gradients are 0, right? Now, in a non-convex function, there could be some points, which do not belong to the global minima, and yet, have 0 gradients. For example, such p …
answered Mar 17 '20 by SpiderRico