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tf.keras.layers.ActivityRegularization

TensorFlow 2.0 version View source on GitHub

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

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__

View source

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