Deep Learning, Neural Networks, Machine Learning, Artificial Intelligence, Keras.
applies a regularization penalty to the output (activity) of a layer, based on the L1 or L2 norms of the output. It does not directly regularize the weights of the layer. keras.layers.ActivityRegularization(l1=0.0, l2=0.0, **kwargs) In conclusion, regularization techniques such as L1, L2, and