# Usefulness of Dropout for non-overfitting network

My neural network is simple enough and does not overfit.

Dropout is a regularization technique for reducing overfitting in neural networks

From Wikipedia

Adding Dropout in a non-overfitting network can increase accuracy ? Even if I increase the complexity of the network ?