tf.keras.layers.ActivityRegularization

Layer that applies an update to the cost function based input activity.

Inherits From: Layer, Module

Compat aliases for migration

`tf.compat.v1.keras.layers.ActivityRegularization`

tf.keras.layers.ActivityRegularization(
    l1=0.0, l2=0.0, **kwargs
)

Args
`l1`	L1 regularization factor (positive float).
`l2`	L2 regularization factor (positive float).

Input shape
Arbitrary. Use the keyword argument `input_shape` (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model.

Output shape
Same shape as input.

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Last updated 2023-10-06 UTC.

Args