Does gradient descent methods always converge to same point

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Hi!!

I'm new to machine learning and I want to know if gradient descent always converges to the same point?
Aug 7, 2018 in Data Analytics by Sahiti
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1 answer to this question.

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No, they always don't. That's because in some cases it reaches a local minima or a local optima point. 

So, you always don’t reach the global optima point. It depends on the data and starting conditions

answered Aug 7, 2018 by CodingByHeart77
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