def build_reconstruction_model(self, n_features):

        self._create_placeholders(n_features, n_features)
        self._create_variables(n_features)

        next_train = self._create_encoding_layers()
        self.reconstruction = self._create_decoding_layers(next_train)

        self.cost = self._create_cost_function_node(self.finetune_loss_func, self.reconstruction, self.input_labels)
        self.train_step = self._create_train_step_node(self.finetune_opt, self.finetune_learning_rate, self.cost,
                                                       self.momentum)
Creates the computational graph for the reconstruction job.
dataset/ETHPy150Open blackecho/Deep-Learning-TensorFlow/models/autoencoder_models/stacked_denoising_autoencoder.py/StackedDenoisingAutoencoder.build_reconstruction_model