Definition of smooth in "smooth error measures"

[hashable]

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?

[yaser]

Originally Posted by hashable

My question is: What does smooth mean here?

For gradient descent, having a second derivative is sufficient.