Batch normalization primarily helps by:
Answer options
A
Removing the need for activation functions
B
Stabilizing and speeding up training
C
Making models deterministic
D
Creating new data
Correct answer: Stabilizing and speeding up training
Explanation
Batch normalization normalizes layer inputs during training, reducing internal covariate shift, which stabilizes and accelerates training.