What is the role of Gradient Descent functions in Machine Learning?ATo compute the loss valuesBTo determine the speed of learning and minimize lossCTo minimize the output values from the learning algorithmsDTo understand how the input values impact output values

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

Q.No 2. In machine learning, what is the role of a loss function?a. Maximizing accuracyb. Minimizing errorsc. Determining feature importanced. Generating new data

Gradient Descent is an optimization algorithm used for ______

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

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