UnitNormalization layer

• 원본 링크 : https://keras.io/api/layers/normalization_layers/unit_normalization/
• 최종 확인 : 2024-11-25

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UnitNormalization class

keras.layers.UnitNormalization(axis=-1, **kwargs)

Unit normalization layer.

Normalize a batch of inputs so that each input in the batch has a L2 norm equal to 1 (across the axes specified in axis).

Example

>>> data = np.arange(6).reshape(2, 3)
>>> normalized_data = keras.layers.UnitNormalization()(data)
>>> np.sum(normalized_data[0, :] ** 2)
1.0

Arguments

• axis: Integer or list/tuple. The axis or axes to normalize across. Typically, this is the features axis or axes. The left-out axes are typically the batch axis or axes. -1 is the last dimension in the input. Defaults to -1.