Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
over-fitting by reducing the generalization error without affecting the training error much. Choosing overly complex models for the training data points can often lead to overfitting. On the other hand, a simpler model leads to underfitting the data. Hence choosing just the right amount of