Overfitting, Underfitting, Overfitting Underfitting, Regularization, Dropout.
training set but performs worse over the testing set, we call overfitting or high-variance model. We check it on the dev set performance To Fixes: - Try more data - Try regularization - Try different NN architecture - Try dropout - Try early stopping - Try data augmentation Regularization ⇒ Used to