What is overfitting in the context of training CNNs?
Practice Questions
1 question
Q1
What is overfitting in the context of training CNNs?
When the model performs well on training data but poorly on unseen data
When the model is too simple to capture the underlying patterns
When the model has too few parameters
When the model is trained on too much data
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.
Questions & Step-by-step Solutions
1 item
Q
Q: What is overfitting in the context of training CNNs?
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.
