text_plain_output_1.png
from subprocess import check_output

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
import seaborn as sns
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D, Dropout, Activation, Flatten, Dense
from keras.optimizers import Adam
from sklearn.model_selection import train_test_split
from subprocess import check_output
print('Files in Input Directory:')
print(check_output(['ls', '../input']).decode('utf8'))