A model trained for image classification has high accuracy on the training set but fails to generalize well. What could be a potential solution?
- Train for more epochs
- Reduce model complexity
- Apply data augmentation techniques
- Collect more training data
High training accuracy but poor generalization suggests overfitting. Reducing model complexity (Option B) is a common solution to overfitting. Training for more epochs (Option A) may exacerbate the issue. Data augmentation (Option C) helps with generalization. Collecting more training data (Option D) can be helpful but might not solve the overfitting problem directly.
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