How can I troubleshoot my neural network training issues?

I'm having trouble with my neural network training. It keeps overfitting. What should I do?

Overfitting can be addressed by using techniques like dropout, regularization, or gathering more training data. Have you tried any of these?

I've tried dropout, but it doesn't seem to help much. What else can I do?

You might want to consider reducing the complexity of your model or using data augmentation to increase your dataset size.

Data augmentation sounds interesting. Can you explain how to implement it?

Sure! Data augmentation involves creating modified versions of your training data. For images, you can rotate, flip, or change brightness. For text, you can use synonyms or paraphrasing.