Neural Networks & Machine Learning. Please explain in great details and show work clearly. Thanks

(10 pts) Suppose the cost function of a training session with some learning rate resulted in the cost response below. Check the following statements that are true: A. The model has converged to steady state and no appreciable improvement can be made. B. Increase learning rate is still possible to achieve lower final cost. C. Any further increase of the learning rate will lead to divergence. D. Faster convergence is possible. E. Keeping the same learning rate, increasing the epoch/iteration from 500 to 1000 will make appreciable reduction in final cost value