Deep Learning, Neural Networks, Machine Learning, Artificial Intelligence, Keras.
resulting in more diffuse models. L2 regularization is particularly effective at addressing the issue of multicollinearity in linear models, where it is known as ridge regression. L1L2 This is also known as Elastic Net regularization, which combines the sparsity-inducing properties of L1