Gradient Descent Multiple Choice Questions in Machine Learning - MCQ Village

# Gradient Descent Multiple Choice Question In Machine Learning

Hello Dear Students we will discuss about Gradient Descent Multiple Choice Question in this Post. Gradient Descent is algorithm which is used in Machine Learning In this Algorithm minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient.

First of all let’s discuss about some definations Which are present into Gradient Descent Topic.

What Is mean by Gradient Descent?

Gradient Descent is Machine Learning Algorithm in which this algorithm minimize some function function by iteratively moving in the direction of steepest decent as defined by the negetive of the gradient.

71.Gradient Descent is an optimization algorithm used for,

ANSWER= B) minimizing the cost function in various machine learning algorithms
Explain:-Gradient Descent is an optimization algorithm used for minimizing the cost function in various machine learning algorithms

72._____processes all the training examples for each iteration of gradient descent.

Explain:- Batch Gradient Descent processes all the training examples for each iteration of gradient descent.

73.There are how many types of Gradient Descent?

74.There are how many types of Gradient Descent?

75._____is a type of gradient descent which processes 1 training example per iteration.

Explain:- Stochastic Gradient Descent is a type of gradient descent which processes 1 training example per iteration.

76.Which is the fastest gradient descent?

77.Which is quite faster than batch gradient descent?

Explain:- the parameters are being updated even after one iteration in which only a single example has been processed. Hence this is quite faster than batch gradient descent.

78.Which Gradient descent works for larger training examples and that too with lesser number of iterations.?

79.______, the algorithm follows a straight path towards the minimum.