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CIFAR10 OL Pred
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| import tensorflow as tf | |
| from tensorflow.keras import datasets | |
| import matplotlib.pyplot as plt | |
| _, (test_images, test_labels) = datasets.cifar10.load_data() | |
| class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck'] | |
| plt.xticks([]) | |
| plt.yticks([]) | |
| plt.title(class_names[test_labels[0][0]]) | |
| plt.imshow(test_images[0]) |
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