!11295 fix error urls in model_zoo for master

From: @lvmingfu
Reviewed-by: @gemini524,@wuxuejian,@liangchenghui
Signed-off-by: @wuxuejian

model_zoo/official/cv/cnnctc/README_CN.md

@@ -294,7 +294,7 @@ bash scripts/run_eval_ascend.sh $TRAINED_CKPT
 
 ### 推理
 
-如果您需要在GPU、Ascend 910、Ascend 310等多个硬件平台上使用训练好的模型进行推理，请参考此[链接](https://www.mindspore.cn/tutory/zh-CN/master/advanced_use/network_migration.html)。以下为简单示例：
+如果您需要在GPU、Ascend 910、Ascend 310等多个硬件平台上使用训练好的模型进行推理，请参考此[链接](https://www.mindspore.cn/tutorial/training/zh-CN/master/advanced_use/migrate_3rd_scripts.html)。以下为简单示例：
 
 - Ascend处理器环境运行
 

model_zoo/official/cv/psenet/README_CN.md

@@ -213,7 +213,7 @@ Calculated!{"precision": 0.8147966668299853，"recall"：0.8006740491092923，"h
 
 ### 推理
 
-如果您需要使用已训练模型在GPU、Ascend 910、Ascend 310等多个硬件平台上进行推理，可参考[此处](https://www.mindspore.cn/tutory/training/en/master/advanced_use/migrate_3rd_scripts.html)。操作示例如下：
+如果您需要使用已训练模型在GPU、Ascend 910、Ascend 310等多个硬件平台上进行推理，可参考[此处](https://www.mindspore.cn/tutorial/training/zh-CN/master/advanced_use/migrate_3rd_scripts.html)。操作示例如下：
 
 ```python
 # 加载未知数据集进行推理

model_zoo/research/audio/deepspeech2/README.md

@@ -59,8 +59,8 @@ Dataset used: [LibriSpeech](<http://www.openslr.org/12>)
 - Framework
     - [MindSpore](https://cmc-szv.clouddragon.huawei.com/cmcversion/index/search?searchKey=Do-MindSpore%20V100R001C00B622)
 - For more information, please check the resources below：
-    - [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html)
-    - [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
 
 # [Script Description](#contents)
 
@@ -192,7 +192,7 @@ dataset directory structure is as follows:
 ```
 
 The three *.csv file stores the absolute path of the corresponding
-data. The three *.csv files will be used in training and evaluation process.
+data. The three*.csv files will be used in training and evaluation process.
 After installing MindSpore via the official website and finishing dataset processing, you can start training as follows:
 
 ```shell