Overfitting, Underfitting, Overfitting Underfitting, Regularization, Dropout.
Overfitting And Underfitting: Regularization(L1 & L2), Drop Out, Early Stopping, And Data Augmentation Underfitting (High Bias) ⇒ If the model is performing poorly over the train set, we call that an underfitting or high bias model. We check on training data performance To Fixes: - Try bigger