thomelane commented on a change in pull request #15365: [TUTORIAL] Revise 
Naming tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15365#discussion_r297438807
 
 

 ##########
 File path: docs/tutorials/gluon/naming.md
 ##########
 @@ -174,41 +142,17 @@ with net.name_scope():
 print(net.prefix, net[0].prefix, net[1].prefix)
 ```
 
-    sequential1_ sequential1_alexnet0_ sequential1_alexnet1_
-
-
-## Saving and loading
-
-Because model0 and model1 have different prefixes, their parameters also have 
different names:
+## Saving and loading of parameters
 
+Because `model0` and `model1` have different prefixes, their parameters also 
have different names:
 
 ```python
 print(model0.collect_params(), '\n')
 print(model1.collect_params())
 ```
 
-    model0_ (
-      Parameter model0_dense0_weight (shape=(20L, 20L), dtype=<type 
'numpy.float32'>)
-      Parameter model0_dense0_bias (shape=(20L,), dtype=<type 'numpy.float32'>)
-      Parameter model0_dense1_weight (shape=(20L, 20L), dtype=<type 
'numpy.float32'>)
-      Parameter model0_dense1_bias (shape=(20L,), dtype=<type 'numpy.float32'>)
-      Parameter model0_mydense_weight (shape=(20L, 20L), dtype=<type 
'numpy.float32'>)
-      Parameter model0_mydense_bias (shape=(20L,), dtype=<type 
'numpy.float32'>)
-    ) 
-    
-    model1_ (
-      Parameter model1_dense0_weight (shape=(20, 0), dtype=<type 
'numpy.float32'>)
-      Parameter model1_dense0_bias (shape=(20,), dtype=<type 'numpy.float32'>)
-      Parameter model1_dense1_weight (shape=(20, 0), dtype=<type 
'numpy.float32'>)
-      Parameter model1_dense1_bias (shape=(20,), dtype=<type 'numpy.float32'>)
-      Parameter model1_mydense_weight (shape=(20, 0), dtype=<type 
'numpy.float32'>)
-      Parameter model1_mydense_bias (shape=(20,), dtype=<type 'numpy.float32'>)
-    )
-
-
 As a result, if you try to save parameters from model0 and load it with 
model1, you'll get an error due to unmatching names:
 
 Review comment:
   "load it with model1"? Might want to rephrase this.

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