Deep Learning, Autoencoder, Python Programming, Keras, Technology.
np.array(y_val_pure_r) noisy_input = y_val_noisy_r.reshape((y_val_noisy_r.shape[0], y_val_noisy_r.shape[1], 1)) pure_input = y_val_pure_r.reshape((y_val_pure_r.shape[0], y_val_pure_r.shape[1], 1)) # Train/test split percentage_training = math.floor((1 - train_test_split) * len(noisy_input))