code: def update(self):
          '''
          Update the encoder and the decoder
          to minimize the reconstruction error of the inputs.
  
          Returns:
              `np.ndarray` of the reconstruction errors.
          '''
          observed_arr = self.noise_sampler.generate()
          inferenced_arr = self.inference(observed_arr)
  
          error_arr = self.__encoder_decoder_controller.computable_loss.compute_loss(
              observed_arr,
              inferenced_arr
          )
          delta_arr = self.__encoder_decoder_controller.computable_loss.compute_delta(
              observed_arr,
              inferenced_arr
          )
          decoder_grads_list, encoder_delta_arr, encoder_grads_list = self.__encoder_decoder_controller.back_propagation(
              delta_arr
          )
          self.__encoder_decoder_controller.optimize(
              decoder_grads_list,
              encoder_grads_list,
              self.__learning_rate, 
              1
          )
  
          return error_arf update(self):
          '''
          Update the encoder and the decoder
          to minimize the reconstruction error of the inputs.
  
          Returns:
              `np.ndarray` of the reconstruction errors.
          '''
          observed_arr = self.noise_sampler.generate()
          inferenced_arr = self.inference(observed_arr)
  
          error_arr = self.__encoder_decoder_controller.computable_loss.compute_loss(
              observed_arr,
              inferenced_arr
          )
          delta_arr = self.__encoder_decoder_controller.computable_loss.compute_delta(
              observed_arr,
              inferenced_arr
          )
          decoder_grads_list, encoder_delta_arr, encoder_grads_list = self.__encoder_decoder_controller.back_propagation(
              delta_arr
          )
          self.__encoder_decoder_controller.optimize(
              decoder_grads_list,
              encoder_grads_list,
              self.__learning_rate, 
              1
          )
  
          return error_arr
docs: Update the encoder and the decoder
          to minimize the reconstruction error of the inputs.
  
          Returns:
              `np.ndarray` of the reconstruction errors.