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Which of the following techniques can help prevent overfitting in neural networks?

Practice Questions

1 question
Q1
Which of the following techniques can help prevent overfitting in neural networks?
  1. Increasing the learning rate
  2. Using dropout
  3. Reducing the number of layers
  4. Using a linear activation function

Questions & Step-by-step Solutions

1 item
Q
Q: Which of the following techniques can help prevent overfitting in neural networks?
Solution: Dropout is a regularization technique that randomly sets a fraction of input units to zero during training to prevent overfitting.
Steps: 0

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