import tensorflow as tf from tensorflow import keras import numpy as np import matplotlib.pyplot as plt fashion_minist = keras.datasets.fashion_mnist (train_images, train_labels), (test_images, test_labels) = fashion_minist.load_data() class_names = ['T-shirt/top', 'Trouser', 'Pillover', 'Dress', 'Coat', 'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot'] train_images = train_images/ 255.0 test_i..
