Machine Learning, Deep Learning, Artificial Intelligence, AI, Neural Networks.
to be exactly zero. L1 Parameter Regularization (Lasso): It can be seen as a feature selection method because; in contrast to L2 regularization, some weights will be actually zero. It shrinks all weights by the same amount by adding L1 norm penalty to the objective function. Dropout: Dropout can be