Assertion: gradient descent | /r/HasProperty | common extension
Facets:
value: very
type: DEGREE
Source sentences:
text: In today’s blog post, we learned about Stochastic Gradient Descent (SGD), an extremely common extension to the vanilla gradient descent algorithm.
text: It is a common optimization approach used to minimize a cost function, thereby finding the optimal parameters in your models.
text: Gradient Descent is a very common optimization algorithm, and most likely, the first optimization algorithm a lot of Machine learning engineers and Data scientists are introduced to.