View source on GitHub |
Layer that applies an update to the cost function based input activity.
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. |