Which of the following statements is$/$are true about the Gradient Descent Algorithm?

A$)$ For the non$-$convex loss function, there is a possibility to get stuck in local minima during optimization

B$)$ Different initializations can lead to different outcomes

C$)$ If the step size is too small, the progress in loss function optimization will also be very slow

D$)$ Step size does not affect the Gradient Descent Algorithm

Answer choices

Select only one option

Only A and B

Only C and D

Only A$,$ B$,$ and C

A$,$ B$,$ C$,$ and D