Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
(blue) that lies within the L1 ball (greed diamond). The additional advantage of using an L1 regularizer over an L2 regularizer is that the L1 norm tends to induce sparsity in the weights. This means, with such a regularizer, the weights beta might have elements that are zero. The weights with the