Pre-interpolation loss behaviour in neural networks

Arthur E. W. Venter, Marthinus W. Theunissen, Marelie H. Davel

When training neural networks as classifiers, it is common to observe an increase in average test loss while still maintaining or improving the overall classification accuracy on t…