Question: What is overfitting in the context of training CNNs?

Options:

1. When the model performs well on training data but poorly on unseen data
2. When the model is too simple to capture the underlying patterns
3. When the model has too few parameters
4. When the model is trained on too much data

Correct Answer: When the model performs well on training data but poorly on unseen data

Solution:

Overfitting occurs when the model performs well on training data but poorly on unseen data, indicating it has learned noise rather than the underlying pattern.