Machine Learning, Generalization, Regularization, Overfitting, Bias.
learning process. First, take a look at the training loss. It should approach zero, or at least a reasonably low value (see graphic below). If not, your model is probably either not a good fit, is not flexible enough, or — and that is often forgotten — the output is not a function of the input data