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Problem 17 - Entrance Test
What is the main benefit of using batch normalization in deep networks?
A. It eliminates dropout
B. It reduces internal covariate shift
C. It increases model capacity
D. It removes the need for activation functions
Check Answer
Show Solution
Correct: B
Batch normalization normalizes layer inputs, stabilizing and accelerating training by reducing internal covariate shift.