Stochastic Gradient Descent and Its Variants in Machine Learning

Journal of the Indian Institute of Science, pp. 201-213, 2019.

Cited by: 0|Bibtex|Views22|
Keywords:
Stochastic optimization Gradient descent Large scale optimization

Abstract:

Stochastic gradient descent (SGD) is a fundamental algorithm which has had a profound impact on machine learning. This article surveys some important results on SGD and its variants that arose in machine learning.

Code:

Data:

Your rating :
0

 

Tags
Comments