 onwards has the outputs that are produced by convert_locs_to_targets
        The train function should save models to self.conf.cachedir every self.conf.save_step. Also save a final model at the end of the training with step number self.conf.dl_steps. APT expects the model files to be named 'deepnet-<step_no>' (i.e., follow the format used by tf.train.Saver for saving models e.g. deepnet-10000.index).
        To view updated training metrics in APT training update window, call self.append_td(step,train_los