How can I debug my machine learning model?

How can I debug my machine learning model?

Debugging a machine learning model involves checking data quality, model assumptions, and performance metrics. What specific issues are you facing?

My model is overfitting. What should I do?

To reduce overfitting, you can try techniques like regularization, pruning, or using more training data. Have you considered any of these?

I've tried regularization, but it didn't help much.

In that case, you might want to explore techniques like dropout, data augmentation, or simplifying your model architecture. Would you like more details on any of these?

Yes, please explain dropout.

Dropout is a regularization technique where you randomly set a fraction of the neurons to zero during training, which helps prevent overfitting. Would you like to know how to implement it?