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/TensorFlow 2.4

tf.keras.layers.ActivityRegularization

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

Inherits From: Layer, Module

Arguments
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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/layers/ActivityRegularization