Overfitting occurs when a model cannot generalize and instead fits the training data set too closely. In this case, only the training loss is decreased in each epoch, the validation loss is not.
Overfitting occurs when a model cannot generalize and instead fits the training data set too closely. In this case, only the training loss is decreased in each epoch, the validation loss is not.