You run gradient descent for $15$ iterations with a$=0\mathrm{.}3$ and compute J$($theta$)$ after each iteration. You find that the value of J$($Theta$)$ decreases quickly and then levels off. Based on this, which of the following conclusions seems most plausible?

Question $15$ Answer

a$.$

All of the given choices

b$.$

Use a larger value of a $($say a$=1\mathrm{.}0)$

c$.$

Use a smaller value of a $($say a$=0\mathrm{.}1)$

d$.$

a$=0\mathrm{.}3$ is an effective choice of learning rate