Question $7(2$ points$)$

Select which one is correct about gradient descent and learning rate? $($Select as many as appropriate$)$

Select $2$ correct answer$($s$)$

The learning rate alpha controls whether the algorithm converges to a minimum quickly or slowly, or whether it diverges

a very large learning rate speeds up the loss function convergence

Gradient descent can't tell whether a minimum it has found is local or global.

A small learning rate results in loss function divergence