$9.$ When comparing gradient descent with and without momentum, what is a typical finding regarding their performance?

A$)$ Gradient descent with momentum usually requires more computational resources.

B$)$ Gradient descent with momentum often achieves faster convergence on large and complex datasets.

C$)$ Gradient descent without momentum is generally faster and more reliable.

D$)$ There is no difference in performance between gradient descent with and without momentum.