text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
from subprocess import check_output

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense, Dropout, Lambda, Flatten
from keras.optimizers import Adam, RMSprop
from sklearn.model_selection import train_test_split
from keras import backend as K
from keras.preprocessing.image import ImageDataGenerator
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))