update bert model zoo links

docs/source_en/network_list.md

@@ -18,7 +18,7 @@
 | Computer Version (CV)  | Targets Detection  | [YoloV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/yolov3/src/yolov3.py)         |  Supported |  Doing | Doing
 | Computer Version (CV)  | Targets Detection  | [FasterRCNN](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/faster_rcnn/src/FasterRcnn)         |  Supported |  Doing | Doing
 | Computer Version (CV) | Semantic Segmentation  | [Deeplabv3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/deeplabv3/src/deeplabv3.py)                                          |  Supported |  Doing | Doing
-| Natural Language Processing (NLP) | Natural Language Understanding  | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/bert/src/bert_model.py)                                          |  Supported |  Doing | Doing
+| Natural Language Processing (NLP) | Natural Language Understanding  | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py)                                          |  Supported |  Doing | Doing
 | Natural Language Processing (NLP) | Natural Language Understanding  | [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/Transformer/src/transformer_model.py)                                          |  Supported |  Doing | Doing
 | Natural Language Processing (NLP) | Natural Language Understanding  | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/lstm/src/lstm.py)                                          |  Doing |  Supported | Supported
 | Recommender | Recommender System, CTR prediction  | [DeepFM](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/deepfm/src/deepfm.py)                                          |  Supported |  Doing | Doing

docs/source_zh_cn/network_list.md

@@ -18,7 +18,7 @@
 | 计算机视觉（CV）  | 目标检测（Targets Detection）  | [YoloV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/yolov3/src/yolov3.py)         |  Supported |  Doing | Doing
 | 计算机视觉（CV）  | 目标检测（Targets Detection）  | [FasterRCNN](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/faster_rcnn/src/FasterRcnn)         |  Supported |  Doing | Doing
 | 计算机视觉（CV） | 语义分割（Semantic Segmentation）  | [Deeplabv3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/deeplabv3/src/deeplabv3.py)                                       |  Supported |  Doing | Doing
-| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding）  | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/bert/src/bert_model.py)                                          |  Supported |  Doing | Doing
+| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding）  | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py)                                          |  Supported |  Doing | Doing
 | 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding）  | [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/Transformer/src/transformer_model.py)                                          |  Supported |  Doing | Doing
 | 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding）  | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/lstm/src/lstm.py)                                          |  Doing |  Supported | Supported
 | 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction）  | [DeepFM](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/deepfm/src/deepfm.py)                                          |  Supported |  Doing | Doing

tutorials/source_en/advanced_use/graph_kernel_fusion.md

@@ -98,7 +98,7 @@ context.set_context(enable_graph_kernel=True)
 
 2. `BERT-large` training network
 
-    Take the training model of the `BERT-large` network as an example. For details about the dataset and training script, see <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/bert>. You only need to modify the `context` parameter.
+    Take the training model of the `BERT-large` network as an example. For details about the dataset and training script, see <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/nlp/bert>. You only need to modify the `context` parameter.
       
 
 ## Effect Evaluation

tutorials/source_zh_cn/advanced_use/graph_kernel_fusion.md

@@ -99,7 +99,7 @@ context.set_context(enable_graph_kernel=True)
 2. `BERT-large`训练网络
 
     以`BERT-large`网络的训练模型为例，数据集和训练脚本可参照
-    <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/bert>，同样我们只需修改`context`参数即可。  
+    <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/nlp/bert>，同样我们只需修改`context`参数即可。  
 
 ## 效果评估