How the Add & Norm Layer Keeps Transformers Balanced #MachineLearning #DeepLearning #Transformers

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In the Add & Norm step of the transformer encoder, the model combines what it already knows with what it just learned. By adding the original input back to the attention output, it keeps important information intact and maintains balance as it goes deeper—like a safety check for learning stability.

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