Which of the statements below accurately describes what is happening in the following figure regarding the role

of the learning rate $($alpha$)?$

a$.$ None

b$.$ If alpha is very small, gradient descent will be fast to converge. If alpha is too large, gradient descent will

overshoot

c$.$ If alpha is very small, gradient descent can be slow to converge. If alpha is too large, gradient descent

can be slow too

d$.$ If alpha is very small, gradient descent will be fast to converge. If alpha is too large, gradient descent will

be slow

e$.$ If alpha is very small, gradient descent can be slow to converge. If alpha is too large, gradient descent will

overshoot