diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index 87c63fa09d0c5811862397ed0ebe5593cda52371..96fd4fd93aeaa20083f7e9bafe1a331a7d957380 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -1032,7 +1032,7 @@ def run_restore_static(filename_l1b, filename_l2, ckpt_dir_s_path, day_night='DA
         ckpt_dir = ckpt_dir_s_path + ckpt
         if not os.path.isdir(ckpt_dir):
             continue
-        nn = IcingIntensityNN(day_night=day_night, use_flight_altitude=use_flight_altitude)
+        nn = IcingIntensityFCN(day_night=day_night, use_flight_altitude=use_flight_altitude)
         nn.run_restore(filename_l1b, filename_l2, ckpt_dir)
         cm_s.append(tf.math.confusion_matrix(nn.test_labels.flatten(), nn.test_preds.flatten()))
         prob_s.append(nn.test_probs.flatten())
@@ -1068,7 +1068,7 @@ def run_evaluate_static_avg(data_dct, ll, cc, ckpt_dir_s_path, day_night='DAY',
         ckpt_dir = ckpt_dir_s_path + ckpt
         if not os.path.isdir(ckpt_dir):
             continue
-        nn = IcingIntensityNN(day_night=day_night, use_flight_altitude=use_flight_altitude)
+        nn = IcingIntensityFCN(day_night=day_night, use_flight_altitude=use_flight_altitude)
         nn.flight_level = flight_level
         nn.setup_eval_pipeline(data_dct, num_lines * num_elems)
         nn.build_model()
@@ -1115,7 +1115,7 @@ def run_evaluate_static(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', l
     probs_dct = {flvl: None for flvl in flight_levels}
     preds_dct = {flvl: None for flvl in flight_levels}
 
-    nn = IcingIntensityNN(day_night=day_night, l1b_or_l2=l1b_or_l2, use_flight_altitude=use_flight_altitude)
+    nn = IcingIntensityFCN(day_night=day_night, l1b_or_l2=l1b_or_l2, use_flight_altitude=use_flight_altitude)
     nn.num_data_samples = num_tiles
     nn.build_model()
     nn.build_training()
@@ -1143,5 +1143,5 @@ def run_evaluate_static(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', l
 
 
 if __name__ == "__main__":
-    nn = IcingIntensityNN()
+    nn = IcingIntensityFCN()
     nn.run('matchup_filename')