Data Science, Machine Learning, Artificial Intelligence, Technology, Cybersecurity.
plt.subplots(1, 10, figsize=(20, 4)) fig.suptitle('Predictions on Test Data (Non-DP Model)') for i, ax in enumerate(axes): img = test_data[i].reshape(28, 28) ax.imshow(img, cmap='gray') prediction = model_non_dp.predict(np.expand_dims(test_data[i], axis=0)) predicted_label = np.argmax(prediction)