What are some effective debugging techniques for AI models?
Some effective debugging techniques include using logging, visualizing model predictions, and analyzing error patterns.
Can you explain how to visualize model predictions?
You can use tools like Matplotlib or Seaborn to create plots that compare predicted vs actual values.
What should I do if my model is overfitting?
To combat overfitting, consider techniques like regularization, dropout, or using more training data.
How can I analyze error patterns?
You can create confusion matrices or use error analysis to identify which classes are being misclassified.
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