I have a neuronal network trained on some data. My testing loss is less than my training loss. As this question is well answered regarding some points here I ask myself, if a custom metric that is used in keras is also affected during training by dropouts? Because except the loss from my lossfunction, my custom metrics from my testing data are not less than training data. If i have dropout, i understand that my training loss can be higher than the testing loss.