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

Gradient Descent is an optimization algorithm used for ______

1. Mention the advantages of Stochastic gradient descent.

Why gradient descent algorithm is required in linear regression. List the difference between stochastic gradient descent and batch gradient descent with suitable cost function

Which of the following statements about Gradient Descent are true? (Select all that apply)Group of answer choicesLearning rate is a crucial hyperparameter in its performance.It requires calculation of gradients for the entire dataset.It can be very slow when the dataset is very large.It is guaranteed to find the global minimum for non-convex functions.

Stochastic gradient descent has fewer amount of computation per gradient update than standard gradient descent.*TrueFalse