Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
Cross-Validation (medium): This method is used to create multiple trained networks and then select the one that gives the least generalization error. The model with the smallest generalization error will hopefully perform better than the other models on the unseen dataset sampled from the hidden