diff --git a/python/mxnet/gluon/block.py b/python/mxnet/gluon/block.py
index f58b00dded2e..af54c66c42d8 100644
--- a/python/mxnet/gluon/block.py
+++ b/python/mxnet/gluon/block.py
@@ -656,10 +656,12 @@ def _summary_hook(block, _, outputs):
                 trainable_params += summary[layer]['trainable']
                 shared_params += summary[layer]['shared']
             print('='*80)
-            print('Total params: ' + str(total_params))
-            print('Trainable params: ' + str(trainable_params))
-            print('Non-trainable params: ' + str(total_params - trainable_params))
-            print('Shared params: ' + str(shared_params))
+            print('Parameters in forward computation graph, duplicate included')
+            print('   Total params: ' + str(total_params))
+            print('   Trainable params: ' + str(trainable_params))
+            print('   Non-trainable params: ' + str(total_params - trainable_params))
+            print('Shared params in forward computation graph: ' + str(shared_params))
+            print('Unique parameters in model: ' + str(total_params - shared_params))
             print('-'*80)
         finally:
             for h in hooks: