To help you more we would need to understand the following things:

1. What type of data are you using? How much data is there? What's the quality of the data?

2. What are you trying to predict?

3. Is accuracy the right measure for the task?

4. What accuracy have you reached so far (getting from 40->50% accuracy is easier than 90->95% accuracy)

In general I'd say this is a difficutl question to answer without a lot more information.

General tips: Try a different deep learning model Try a different loss function Check for overfitting Try training for more epochs Try a different optimiser Look at individual failure cases, work out what the model is doing wrong and design your own tweaks to handle those cases.