Which of the following statements is true about the learning rate alpha in gradient descent?
A. If alpha is very small, gradient descent will be fast to converge. If alpha is too large, gradient descent will overshoot
B. If alpha is very small, gradient descent can be slow 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
Answer:B
Which of the following statements is true about the learning rate alpha in gradient descent?
A. If alpha is very small, gradient descent will be fast to converge. If alpha is too large, gradient descent will overshoot B. If alpha is very small, gradient descent can be slow 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