Gradient Descent is an optimization algorithm used for ______

1 pointWhat is the purpose of the gradient descent algorithm in machine learning? To minimize the loss function To maximize the loss function To minimize the output function To maximize the output function

In Gradient Descent, refers to the magnitude of updates to the parameters, and refers to the direction of updates.

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

What is the gradient descent in the backpropagation algorithm?Select one:a.The process of maximizing the error between the predicted output and the actual outputb.The process of minimizing the error between the predicted output and the actual outputc.The process of adjusting the weights and biases in the forward directiond.The process of adjusting the weights and biases in the backward direction

Which of the folowing is not an optimizer function?Stochastic Gradient Descent (SGD)