Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
cross-validation — Image by Author 3. Modify training algorithm Regularization can also be implemented by modifying the training algorithm in various ways. The two most commonly used methods are discussed below. a. Dropout (strong) Dropout is used when the training model is a neural network. A