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What is the purpose of batch normalization in neural networks?

Practice Questions

1 question
Q1
What is the purpose of batch normalization in neural networks?
  1. To increase the number of training epochs
  2. To normalize the input features
  3. To stabilize and accelerate training
  4. To reduce the size of the model

Questions & Step-by-step Solutions

1 item
Q
Q: What is the purpose of batch normalization in neural networks?
Solution: Batch normalization helps stabilize and accelerate the training process by normalizing the inputs to each layer.
Steps: 0

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