Overfitting, Underfitting, Overfitting Underfitting, Regularization, Dropout.
network - Try getting additional features - Try adding polynomial features - Try decrease λ - Try different training layers + longer - Try different NN architecture - Better optimization algorithm (Momentum, RMSProp, Adam) Overfitting (High Variance) ⇒ If the model is performing too well on the