s.run. This also sets the self.ph['phase_train'] to True for batch norm. Use self.fd_val() will generate non-augmented inputs from training DB and to set the self.ph['phase_train'] to false for batch norm.</p>

        <p>To view updated training status in APT, call self.update_and_save_td(step,sess) after each training step. Note update_and_save_td uses the output of loss function to find the loss and convert_preds_to_locs function to find the distance between prediction and labeled locations.</p>

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