41.What does gradient descent help in finding?  A. Local maximum of a function  B. Local minimum of a function  C. Global maximum of function  D. Global minimum of function

Gradient Descent can help find the global minimum of a cost function.Group of answer choicesTrueFalse

Explain the role of the following factors in reaching global minima with a gradient descent algorithm for linear regression.a. Epochsb. Learning ratec. Parametersd. Bias and Variance

Gradient Descent is an optimization algorithm used for ______

Consider the function y = (x + 4)^2 and assume the learning rate is 0.01. What is local minima of the function when x is initialized to 3? What is x after the first iteration using gradient descent?1 point0, 3.020, 4.08-4, 2.864, 3.8

Gradient Descent algorithms converge to a local minimum, and if the function is convex, they converge to a __________ minimum.