update vgg pretrained model

docs/api/python/gluon/model_zoo.md

@@ -60,12 +60,12 @@ The following table summarizes the available models.
 | squeezenet1.1 | [SqueezeNet 1.1](https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1) | 1,235,496    | 0.5496         | 0.7817         | Converted from pytorch vision                                                                                                                        |
 | vgg11         | [VGG-11](https://arxiv.org/abs/1409.1556)                                             | 132,863,336  | 0.6662         | 0.8734         | Converted from pytorch vision                                                                                                                        |
 | vgg13         | [VGG-13](https://arxiv.org/abs/1409.1556)                                             | 133,047,848  | 0.6774         | 0.8811         | Converted from pytorch vision                                                                                                                        |
-| vgg16         | [VGG-16](https://arxiv.org/abs/1409.1556)                                             | 138,357,544  | 0.7238         | 0.9102         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
-| vgg19         | [VGG-19](https://arxiv.org/abs/1409.1556)                                             | 143,667,240  | 0.7370         | 0.9151         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
+| vgg16         | [VGG-16](https://arxiv.org/abs/1409.1556)                                             | 138,357,544  | 0.7323         | 0.9132         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
+| vgg19         | [VGG-19](https://arxiv.org/abs/1409.1556)                                             | 143,667,240  | 0.7411         | 0.9135         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
 | vgg11_bn      | [VGG-11 with batch normalization](https://arxiv.org/abs/1409.1556)                    | 132,874,344  | 0.6859         | 0.8872         | Converted from pytorch vision                                                                                                                        |
 | vgg13_bn      | [VGG-13 with batch normalization](https://arxiv.org/abs/1409.1556)                    | 133,059,624  | 0.6884         | 0.8882         | Converted from pytorch vision                                                                                                                        |
-| vgg16_bn      | [VGG-16 with batch normalization](https://arxiv.org/abs/1409.1556)                    | 138,374,440  | 0.7254         | 0.9114         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
-| vgg19_bn      | [VGG-19 with batch normalization](https://arxiv.org/abs/1409.1556)                    | 143,689,256  | 0.7365         | 0.9182         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
+| vgg16_bn      | [VGG-16 with batch normalization](https://arxiv.org/abs/1409.1556)                    | 138,374,440  | 0.7310         | 0.9176         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
+| vgg19_bn      | [VGG-19 with batch normalization](https://arxiv.org/abs/1409.1556)                    | 143,689,256  | 0.7433         | 0.9185         | Trained with [script](https://github.com/apache/incubator-mxnet/blob/master/example/gluon/image_classification.py)                                                                                                                        |
 
 ```eval_rst
 .. autosummary::

python/mxnet/gluon/model_zoo/model_store.py

@@ -55,10 +55,10 @@
     ('ee79a8098a91fbe05b7a973fed2017a6117723a8', 'vgg11_bn'),
     ('6bc5de58a05a5e2e7f493e2d75a580d83efde38c', 'vgg13'),
     ('7d97a06c3c7a1aecc88b6e7385c2b373a249e95e', 'vgg13_bn'),
-    ('ef8c5d7fdddb7ef143bbcccbfecdea42552c51d1', 'vgg16'),
-    ('0cebe2f070390db194f0bfa367df00d42de7be29', 'vgg16_bn'),
-    ('02c12a31188a4f9da8651647b64fc2b944a72a40', 'vgg19'),
-    ('11ee6adf98209813dbe929acb57a539ac081e954', 'vgg19_bn')]}
+    ('e660d4569ccb679ec68f1fd3cce07a387252a90a', 'vgg16'),
+    ('7f01cf050d357127a73826045c245041b0df7363', 'vgg16_bn'),
+    ('ad2f660d101905472b83590b59708b71ea22b2e5', 'vgg19'),
+    ('f360b758e856f1074a85abd5fd873ed1d98297c3', 'vgg19_bn')]}
 
 apache_repo_url = 'https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/'
 _url_format = '{repo_url}gluon/models/{file_name}.zip'