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What is the role of dropout in a CNN?

Practice Questions

1 question
Q1
What is the role of dropout in a CNN?
  1. To increase the number of neurons
  2. To prevent overfitting
  3. To enhance feature extraction
  4. To speed up training

Questions & Step-by-step Solutions

1 item
Q
Q: What is the role of dropout in a CNN?
Solution: Dropout is a regularization technique used to prevent overfitting by randomly setting a fraction of input units to zero during training.
Steps: 0

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