A data scientist aims to improve a neural network model $($for classification$)$ that

has training accuracy $0\mathrm{.}58$ and testing accuracy $0\mathrm{.}55.$ Which strategy is MOST

LIKELY to improve the model?

A$.$ Add two more hidden, dense layers.

B$.$ Add a regularization term to loss function.

C$.$ Use a larger learning rate.

D$.$ Use a smaller training dataset.