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plt.figure()
plt.imshow(train_images[0])
plt.colorbar()
plt.grid(False)
plt.show()

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len(test_labels)

#10000

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test_images.shape


#(10000, 28, 28)

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train_labels

# array([9, 0, 0, ..., 3, 0, 5], dtype=uint8)

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len(train_labels)

#60000

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train_images.shape


#(60000, 28, 28)

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class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
               'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']

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fashion_mnist = tf.keras.datasets.fashion_mnist

(train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()

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# TensorFlow and tf.keras
import tensorflow as tf

# Helper libraries
import numpy as np
import matplotlib.pyplot as plt

print(tf.__version__)

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