Question: Which of the following techniques is used to prevent overfitting in neural networks?

Options:

1. Increasing the learning rate
2. Using dropout layers
3. Reducing the number of layers
4. Using a larger batch size

Correct Answer: Using dropout layers

Solution:

Dropout layers randomly deactivate neurons during training, which helps prevent overfitting.