Deep Learning, Autoencoder, Python Programming, Keras, Technology.
percentage_training # Get the sample and the reconstruction original = y_val_noisy[prediction_index] pure = y_val_pure[prediction_index] reconstruction = np.array(reconstructions[i]) # Matplotlib preparations fig, axes = plt.subplots(1, 3) # Plot sample and reconstruciton axes[0].plot(original)