train/val/test batch

[weizequan]

Reading the class train(self, nb_train_batch, nb_test_batch, nb_validation_batch, validation_frequency = 10, show_filters = False): , your shared code now is used to train on patches (100x100), and also val/test on patches. Here, you set crop = False, if one want to train on full-size image, need to change "crop" to True. I don't understand why nb_test_batch = 80? In your paper (), TABLE 1: the Ntest = 2000. Therefore, i think that nb_test_batch = 40 is right, the reason is that nb_test_batch (i.e., 40) * batch_size (i.e., 50) = Ntest (i.e., 2000).