Which of the following statements about the gradient descent algorithm for training neural networks is true?

Gradient descent is only applicable to linear models.

The gradient descent algorithm is guaranteed to find the global minimum of the loss function.

Gradient descent is a form of unsupervised learning.

Stochastic gradient descent is faster than batch gradient descent, but may result in more noisy updates.