OK this isn't a very scientific test but just eyeballing some outputs for a lightly trained net (classification error about 10% whereas a fully trained net can

OK this isn't a very scientific test but just eyeballing some outputs for a lightly trained net (classification error about 10% whereas a fully trained net can get well below 2%) what I'm seeing is that with the test set inputs every instance I've looked at has had one output > 0.5, most > 0.7. For random images the highest output I'm seeing is 0.27.