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mjbhobe/cifar10_part1_predictions_1.py

Created September 23, 2018 10:32
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cifar10_part1_predictions_1.py
# let's pick 20 random values from the test data
rand_idx = np.random.randint(0, test_data.shape[0],20)
rand_images = test_data[rand_idx]
rand_labels_true = test_labels_cat[rand_idx]
# decode the labels (reverse on-hot encoding)
y_true = np.argmax(rand_labels_true, axis=1)
y_true
# predictions
y_pred = np.argmax(kr_base_model.predict(rand_images), axis=1)
y_pred
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