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What is Batch Normalization and Layer Normalization?
Batch Normalization and Layer Normalization are techniques used in deep learning to stabilize and accelerate training by normalizing inputs to layers, but they differ in how and where normalization is applied. Batch Normalization normalizes activations across a mini-batch, helping reduce internal covariate shift and enabling higher learning ...
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