How can I debug my neural network effectively?

How can I debug my neural network effectively?

Debugging a neural network involves checking data quality, model architecture, and training process. What specific issue are you facing?

My model is overfitting. What should I do?

To combat overfitting, you can try techniques like dropout, regularization, or using more training data. Have you implemented any of these?

I've tried dropout but it didn't help much. Any other suggestions?

You might want to consider simplifying your model or using data augmentation. Also, ensure your training data is diverse.

Thanks! I'll try that. How can I monitor my model's performance during training?

You can use validation loss and accuracy metrics to monitor performance. Tools like TensorBoard can help visualize this.