Regularization, Overfitting, Dropout Regularization, Early Stopping, Elastic Net.
therefore reduce overfitting. Dropout layer: removing neurons from the network. Image by author. Early stopping This is a type of regularization that is used to prevent overfitting by monitoring the performance of the model on a validation set and stopping the training when the performance starts