text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
import keras
from keras import Sequential
from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten, Dropout
from keras.optimizers import Adam
from keras.callbacks import TensorBoard
df_train = pd.read_csv('../input/fashion-mnist_train.csv')
df_test = pd.read_csv('../input/fashion-mnist_test.csv')
print(df_train.head())