Thanks! But if we were trying to do simple classification of the entire image, then we would need some more logic here. In particular, if were trying to do NLL against say 10 classes, then perhaps one approach would be to average the values in each of the 10 feature maps of the last layer. I suppose this would be  the “obvious” spatial-dimension invariant simple classifier.