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Implement batch normalization (forward pass, train and inference) from scratch.

Implementing BatchNorm checks that you know the train/inference difference, the part everyone forgets. The signal is normalizing over the batch with running stats maintained for inference. Here is the implementation.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Implementing BatchNorm checks that you know the train/inference difference, the part everyone forgets. The signal is normalizing over the batch with running stats maintained for inference. Here is the implementation.

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