Related Question 2
In a neural network, why is it important to normalize input features?
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A.
To make the network more complex
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B.
To improve convergence speed and training stability
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C.
To prevent overfitting entirely
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D.
Normalization is not needed
Correct Answer: B
Explanation:
Feature normalization ensures they have similar scales, which helps gradient descent converge faster.