21. In machine learning, one of the most common problems that will occur when we are training a
model is overfitting. There are some techniques that could ease or even solve this problem. Which
of the following technique does NOT alleviate overfitting problem?
(A) Adding dropout between layers.
(B) Increasing training epochs.
(C) Data augmentation.
(D) Early stopping while training model.
(E) Using L1/L2 regularization.