A generalized net model of the stochastic gradient descent and dropout algorithm with intuitionistic fuzzy evaluations

Abstract

In the paper, we consider a stochastic gradient descent algorithm in combination with a dropout method. We used the theory of intuitionistic fuzzy sets for the assessment of the equivalence of the respective assessment units. We also consider a degree of uncertainty when the information is not enough.