What is the purpose of normalization in the context of neural networks?

Practice Questions

1 question
Q1
What is the purpose of normalization in the context of neural networks?
  1. To increase the number of features
  2. To ensure all input features have similar scales
  3. To reduce the size of the dataset
  4. To improve the model's interpretability

Questions & Step-by-step Solutions

1 item
Q
Q: What is the purpose of normalization in the context of neural networks?
Solution: Normalization helps to ensure that all input features contribute equally to the model's learning process by scaling them to a similar range.
Steps: 0

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