Select all variations of gradient descent that are discussed in the video

Problem statementSend feedbackDo proper match for below statements:1. Uses n data points instead of 1 sample at each iteration.2. Computes the gradient using a single sample.3. Computes the gradient using the whole dataset.Types of Gradient DescentA: Mini-batch gradient descent B: Stochastic gradient descent C: Batch gradient descent

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.

Which optimization algorithm adapts the learning rate for each parameter based on its gradient history?Group of answer choicesGradient DescentStochastic Gradient Descent (SGD)AdaGradRMSprop

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

Which optimization algorithm adapts the learning rate for each parameter based on its gradient history?