tf.keras.layers.ActivityRegularization

Class ActivityRegularization

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

Inherits From: Layer

Aliases:

  • Class tf.compat.v1.keras.layers.ActivityRegularization
  • Class tf.compat.v2.keras.layers.ActivityRegularization
  • Class tf.keras.layers.ActivityRegularization

Defined in python/keras/layers/core.py.

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.

__init__

__init__(
    l1=0.0,
    l2=0.0,
    **kwargs
)