# Stochastic Gradient Descent Multiple Choice Question Questions and Answers | Objective Type Questions And Answers

**Stochastic Gradient Descent.**Stochastic gradient descent it is an algorithm which is used in machine learning.The application of the SDG algorithm is to find the model parameters with best fits between predicted and actual output values. It is very powerful technique for finding the difference between actual value and predicted value in machine learning algorithm.

81. SGD stands for _____

ANSWER= A) Stochastic Gradient Descent

Explain:-

82. Gradient Descent is used in _____

ANSWER= B) Machine Learning and Deep Learning

83. Typically, there are _____ types of Gradient Descent

ANSWER= c)3

84. The word ‘stochastic‘ means____

ANSWER= c) Both A and B

Explain:- The word ‘stochastic‘ means a system or a process that is linked with a random probability

85._____denotes the total number of samples from a dataset that is used for calculating the gradient for each iteration

ANSWER= B) batch

Explain:- batch denotes the total number of samples from a dataset that is used for calculating the gradient for each iteration

86.In SGD, it uses only a _____

ANSWER= B) Double sample

Explain:- In SGD, it uses only a single sample, i.e., a batch size of one, to perform each iteration

87.In _____ Parameters are updated after computing the gradient of error with respect to a subset of the training set

ANSWER= B) Mini-Batch Gradient Descent

88.Gradient Descent is an iterative optimiZation algorithm, used to find the

ANSWER= B) Minimum value of the function

89.Gradient descent is highly used in supervised learning_____

ANSWER= C) Supervised Machine learning

90._____used to accelerate the gradient descent algorithm by taking into consideration the exponentially weighted average of the gradients.

ANSWER= A) Momentum method