Assertion: gradient descent | /r/HasProperty | popular method
Facets:
value: in deep learning
type: OTHER
value: very
type: DEGREE
value: to attain the minimum error state
type: PURPOSE
Source sentences:
text: Gradient descent is a very popular method to tune the parameters of a machine learning model — so as to attain the minimum error state.
text: Stochastic gradient descent is a popular algorithm for training a wide range of models in machine learning, including (linear) support vector machines, logistic regression (see, e.g., Vowpal Wabbit) and graphical models.
text: Gradient descent is a very popular optimization method.
text: Gradient Descent is a popular optimization technique in Machine Learning and Deep Learning, and it can be used with most, if not all, of the learning algorithms.