活动正则化层
ActivityRegularization class
tf_keras.layers.ActivityRegularization(l1=0.0, l2=0.0, **kwargs)
Layer that applies an update to the cost function based input activity.
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.