Deep Learning, Neural Networks, Machine Learning, Artificial Intelligence, Keras.
features that contribute to the prediction. L2 L2 regularization, also known as Ridge works by adding a penalty term to the loss function that is proportional to the square of the magnitude of the coefficients (weights) of the model. tf.keras.regularizers.L2( l2=0.01, **kwargs ) l2 is the