import tensorflow as tf

                                                normalizer_fn=tf.contrib.layers.batch_norm, 
                                                normalizer_params={"is_training": self.train}):
                self.fc1 = tf.contrib.layers.fully_connected(self.flatten, self.config.cifar10_cnn["fc1_nb_units"])
                self.fc2 = tf.contrib.layers.fully_connected(self.fc1, self.config.data["num_categories"], activation_fn=None)

            # Compute loss
