how to load fashion mnist dataset code example

Example 1: how to display the first 25 images from training dataset

plt.figure(figsize=(10,10))for i in range(25):    plt.subplot(5,5,i+1)    plt.xticks([])    plt.yticks([])    plt.grid(False)    plt.imshow(train_images[i], cmap=plt.cm.binary)    plt.xlabel(class_names[train_labels[i]])plt.show()

Example 2: mnist fashion dataset

import tensorflow as tf
from tensorflow.keras.datasets import fashion_mnist

link - https://github.com/zalandoresearch/fashion-mnist
#The data is already been sorted into traning and testing for us

(train_data, train_labels), (test_data, test_labels) = fashion_mnist.load_data()

#Create a small list so we can read the label as well
class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat', 'Sandle', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']