remove unused variables in cifar10_cnn
@@ -20,11 +20,6 @@ num_classes = 10
epochs = 200
data_augmentation = True
-# input image dimensions
-img_rows, img_cols = 32, 32
-# The CIFAR10 images are RGB.
-img_channels = 3
-
# The data, shuffled and split between train and test sets:
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
print('x_train shape:', x_train.shape)
