Effect of feature extraction layer shaving. (a) The accuracy and loss value against the test dataset of CNN whose layers posterior to the indicated layers were removed. We performed a transfer learning with the newly prepared global average pooling and output layers. Since the Mixed5 CNN showed a classification performance equivalent to the original model, further analysis was not performed. (b) Network parameters required to run the CNN.