NormalizationLayer

NormalizationLayer[] represents a trainable net layer that normalizes its input data across the second and subsequent dimensions and applies an independent scaling and bias to each component of the first dimension.

NormalizationLayer[aggregationlevels] normalizes data across the specified aggregation levels and applies a learned scaling and bias on the remaining levels.

NormalizationLayer[aggregationlevels,scalinglevels] applies a learned scaling and bias at the specified scaling levels.

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