When applying deep learning to real-world data, how should Batch normalization be understood? Consider practical model design.

A. Batch normalization replaces the optimizer entirely B. Batch normalization is only used for text spelling correction C. Batch normalization normalizes intermediate activations to stabilize and speed up training D. Batch normalization stores batches in a database