In [1]:

    

import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
from tensorflow.keras.datasets import mnist
import matplotlib.pyplot as plt
(X_train, y_train), (X_test, y_test) = mnist.load_data()


    

In [2]:

    

plt.rcParams['figure.figsize'] = (7,7)
offset = 0
for i in range(9):
    plt.subplot(3,3,i+1)
    plt.imshow(X_train[i+offset], cmap='gray', interpolation='none')
    plt.title("label {}".format(y_train[i+offset]))
    plt.axis('off')


    

In [9]:

    

X_train.shape


    

    
Out[9]:





(60000, 28, 28)

In [10]:

    

X_train[0]


    

    
Out[10]:





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In [ ]: