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Old 08-09-2012, 08:32 PM
hashable hashable is offline
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Default Definition of smooth in "smooth error measures"

In the course and the book, Professor YAM says:

Gradient Descent is a very general algorithm that can be used to train many other learning models with smooth error measures.
My question is: What does smooth mean here?
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Old 08-09-2012, 09:48 PM
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yaser yaser is offline
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Default Re: Definition of smooth in "smooth error measures"

Originally Posted by hashable View Post
My question is: What does smooth mean here?
For gradient descent, having a second derivative is sufficient.
Where everyone thinks alike, no one thinks very much
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error, gradient

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