Is this clear overfitting?
When training accuracy increases while validation accuracy remains constant or decreases, then the model is most likely overfitting, or it may be saturated.

You can try the following methods to increase accuracy:


Momentum
Regularization techniques: Early Stopping, Dropout, Weight Decay, etc
Synthetic Data and related techniques such as SMOTE
Ensembles