Deep Learning, Neural Networks, Machine Learning, Artificial Intelligence, Keras.
output of the layer, i.e., the activation values. This type of regularization is less common and is used when you want to impose a penalty directly on the layer’s output values, encouraging them to be smaller or sparser. Regularization Layers These layers apply regularization techniques directly to