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autoencoder to reconstruct the test data x_test_autoencoder = autoencoder.predict(x_test) # Plot the first 5 original and reconstructed images for PCA plt.figure(figsize=(12, 6)) for i in range(5): # Original image ax = plt.subplot(2, 5, i + 1) plt.imshow(x_test[i].reshape(28, 28)) plt.gray()