Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
overfitting. 1. Modify loss function In these regularization techniques, the loss function under which the model is optimized is modified to directly take into account the norm of the learned parameters or the output distribution. We have the following loss function based regularization techniques.