modify urls related docs for master_mindspore

2021-07-13 21:20:15 +08:00 · 2021-07-13 21:20:15 +08:00 · 4c301a3951
parent d0dae7bb94
commit 4c301a3951
193 changed files with 409 additions and 409 deletions
--- a/model_zoo/official/cv/FCN8s/README.md
+++ b/model_zoo/official/cv/FCN8s/README.md
@ -49,8 +49,8 @@ Dataset used:
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需获取更多信息，请查看如下链接：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [快速开始](#contents)

@ -434,7 +434,7 @@ python export.py

 ### 教程

-如果你需要在不同硬件平台（如GPU，Ascend 910 或者 Ascend 310）使用训练好的模型，你可以参考这个 [Link](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/migrate_3rd_scripts.html)。以下是一个简单例子的步骤介绍：
+如果你需要在不同硬件平台（如GPU，Ascend 910 或者 Ascend 310）使用训练好的模型，你可以参考这个 [Link](https://www.mindspore.cn/docs/programming_guide/en/master/multi_platform_inference.html)。以下是一个简单例子的步骤介绍：

 - Running on Ascend

--- a/model_zoo/official/cv/alexnet/README.md
+++ b/model_zoo/official/cv/alexnet/README.md
@ -57,8 +57,8 @@ Dataset used: [CIFAR-10](<http://www.cs.toronto.edu/~kriz/cifar.html>)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/alexnet/README_CN.md
+++ b/model_zoo/official/cv/alexnet/README_CN.md
@ -61,8 +61,8 @@ AlexNet由5个卷积层和3个全连接层组成。多个卷积核用于提取
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/cv/centerface/README.md
+++ b/model_zoo/official/cv/centerface/README.md
@ -89,8 +89,8 @@ other datasets need to use the same format as WiderFace.
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/cnn_direction_model/README.md
+++ b/model_zoo/official/cv/cnn_direction_model/README.md
@ -69,8 +69,8 @@ This will create two folders: train and test in the target directory you specify
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/cnnctc/README.md
+++ b/model_zoo/official/cv/cnnctc/README.md
@ -106,9 +106,9 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil

    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [MindSpore tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)

-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

@ -432,7 +432,7 @@ Inference result is saved in current path, you can find result like this in acc.

 ### Inference

-If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/migrate_3rd_scripts.html). Following the steps below, this is a simple example:
+If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/docs/programming_guide/en/master/multi_platform_inference.html). Following the steps below, this is a simple example:

 - Running on Ascend

--- a/model_zoo/official/cv/cnnctc/README_CN.md
+++ b/model_zoo/official/cv/cnnctc/README_CN.md
@ -109,9 +109,9 @@ python src/preprocess_dataset.py
    - [MindSpore](https://www.mindspore.cn/install)

 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)

-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

@ -434,7 +434,7 @@ bash run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [DVPP] [DEVICE_ID]

 ### 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/tutorial/training/zh-CN/master/advanced_use/migrate_3rd_scripts.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/docs/programming_guide/zh-CN/master/multi_platform_inference.html)。以下为简单示例：

 - Ascend处理器环境运行

--- a/model_zoo/official/cv/crnn/README.md
+++ b/model_zoo/official/cv/crnn/README.md
@ -62,8 +62,8 @@ We provide `convert_ic03.py`, `convert_iiit5k.py`, `convert_svt.py` as exmples f
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/crnn_seq2seq_ocr/README.md
+++ b/model_zoo/official/cv/crnn_seq2seq_ocr/README.md
@ -46,8 +46,8 @@ For training and evaluation, we use the French Street Name Signs (FSNS) released
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/cspdarknet53/README.md
+++ b/model_zoo/official/cv/cspdarknet53/README.md
@ -60,8 +60,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/ctpn/README.md
+++ b/model_zoo/official/cv/ctpn/README.md
@ -61,8 +61,8 @@ Here we used 6 datasets for training, and 1 datasets for Evaluation.
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/deeplabv3/README.md
+++ b/model_zoo/official/cv/deeplabv3/README.md
@ -78,8 +78,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [MindSpore Tutorials](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)
 - Install python packages in requirements.txt
 - Generate config json file for 8pcs training

--- a/model_zoo/official/cv/deeplabv3/README_CN.md
+++ b/model_zoo/official/cv/deeplabv3/README_CN.md
@ -103,8 +103,8 @@ python convert_resnet101.py
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)
 - 安装requirements.txt中的python包。
 - 生成config json文件用于8卡训练。

--- a/model_zoo/official/cv/deeptext/README.md
+++ b/model_zoo/official/cv/deeptext/README.md
@ -53,8 +53,8 @@ Here we used 4 datasets for training, and 1 datasets for Evaluation.
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/densenet/README.md
+++ b/model_zoo/official/cv/densenet/README.md
@ -86,8 +86,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/densenet/README_CN.md
+++ b/model_zoo/official/cv/densenet/README_CN.md
@ -90,8 +90,8 @@ DenseNet-100使用的数据集： Cifar-10
 - 框架
 - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
- [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
- [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+- [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+- [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/cv/dpn/README.md
+++ b/model_zoo/official/cv/dpn/README.md
@ -79,8 +79,8 @@ To run the python scripts in the repository, you need to prepare the environment
    - Python3.7
    - Mindspore 1.1.0
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/efficientnet/README.md
+++ b/model_zoo/official/cv/efficientnet/README.md
@ -51,8 +51,8 @@ Note: Data will be processed in src/dataset.py
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/googlenet/README.md
+++ b/model_zoo/official/cv/googlenet/README.md
@ -76,8 +76,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

@ -575,7 +575,7 @@ Current batch_ Size can only be set to 1.

 ### Inference

-If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/migrate_3rd_scripts.html). Following the steps below, this is a simple example:
+If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/docs/programming_guide/en/master/multi_platform_inference.html). Following the steps below, this is a simple example:

 - Running on Ascend

--- a/model_zoo/official/cv/googlenet/README_CN.md
+++ b/model_zoo/official/cv/googlenet/README_CN.md
@ -83,8 +83,8 @@ GoogleNet由多个inception模块串联起来，可以更加深入。  降维的
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # 快速入门

@ -549,7 +549,7 @@ python export.py --config_path [CONFIG_PATH]

 ### 推理

-如果您需要使用此训练模型在GPU、Ascend 910、Ascend 310等多个硬件平台上进行推理，可参考此[链接](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/migrate_3rd_scripts.html)。下面是操作步骤示例：
+如果您需要使用此训练模型在GPU、Ascend 910、Ascend 310等多个硬件平台上进行推理，可参考此[链接](https://www.mindspore.cn/docs/programming_guide/en/master/multi_platform_inference.html)。下面是操作步骤示例：

 - Ascend处理器环境运行

--- a/model_zoo/official/cv/inceptionv3/README.md
+++ b/model_zoo/official/cv/inceptionv3/README.md
@ -63,8 +63,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 - Running on [ModelArts](https://support.huaweicloud.com/modelarts/)

--- a/model_zoo/official/cv/inceptionv3/README_CN.md
+++ b/model_zoo/official/cv/inceptionv3/README_CN.md
@ -74,8 +74,8 @@ InceptionV3的总体网络架构如下：
 - 框架
 - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需查看详情，请参见如下资源：
- [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
- [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+- [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+- [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 - 在 ModelArts 进行训练 (如果你想在modelarts上运行，可以参考以下文档 [modelarts](https://support.huaweicloud.com/modelarts/))

--- a/model_zoo/official/cv/inceptionv4/README.md
+++ b/model_zoo/official/cv/inceptionv4/README.md
@ -56,8 +56,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 - Running on [ModelArts](https://support.huaweicloud.com/modelarts/)

--- a/model_zoo/official/cv/lenet/README.md
+++ b/model_zoo/official/cv/lenet/README.md
@ -64,8 +64,8 @@ Dataset used: [MNIST](<http://yann.lecun.com/exdb/mnist/>)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/lenet/README_CN.md
+++ b/model_zoo/official/cv/lenet/README_CN.md
@ -68,8 +68,8 @@ LeNet非常简单，包含5层，由2个卷积层和3个全连接层组成。
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/cv/lenet_quant/Readme.md
+++ b/model_zoo/official/cv/lenet_quant/Readme.md
@ -59,8 +59,8 @@ Dataset used: [MNIST](<http://yann.lecun.com/exdb/mnist/>)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/lenet_quant/Readme_CN.md
+++ b/model_zoo/official/cv/lenet_quant/Readme_CN.md
@ -65,8 +65,8 @@ LeNet非常简单，包含5层，由2个卷积层和3个全连接层组成。
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/en/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## 快速入门

--- a/model_zoo/official/cv/maskrcnn/README.md
+++ b/model_zoo/official/cv/maskrcnn/README.md
@ -59,8 +59,8 @@ Note that you can run the scripts based on the dataset mentioned in original pap
 - Docker base image
    - [Ascend Hub](ascend.huawei.com/ascendhub/#/home)
 - For more information, please check the resources below:
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 - third-party libraries

--- a/model_zoo/official/cv/maskrcnn/README_CN.md
+++ b/model_zoo/official/cv/maskrcnn/README_CN.md
@ -61,8 +61,8 @@ MaskRCNN是一个两级目标检测网络，作为FasterRCNN的扩展模型，
 - 获取基础镜像
    - [Ascend Hub](ascend.huawei.com/ascendhub/#/home)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 - 第三方库

--- a/model_zoo/official/cv/maskrcnn_mobilenetv1/README.md
+++ b/model_zoo/official/cv/maskrcnn_mobilenetv1/README.md
@ -63,8 +63,8 @@ Note that you can run the scripts based on the dataset mentioned in original pap
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below:
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 - third-party libraries

--- a/model_zoo/official/cv/mobilenetv1/README.md
+++ b/model_zoo/official/cv/mobilenetv1/README.md
@ -68,8 +68,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 - Running on [ModelArts](https://support.huaweicloud.com/modelarts/)

--- a/model_zoo/official/cv/mobilenetv2/README.md
+++ b/model_zoo/official/cv/mobilenetv2/README.md
@ -58,8 +58,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 - Running on [ModelArts](https://support.huaweicloud.com/modelarts/)

--- a/model_zoo/official/cv/mobilenetv2/README_CN.md
+++ b/model_zoo/official/cv/mobilenetv2/README_CN.md
@ -64,8 +64,8 @@ MobileNetV2总体网络架构如下：
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 - 在 ModelArts 进行训练 (如果你想在modelarts上运行，可以参考以下文档 [modelarts](https://support.huaweicloud.com/modelarts/))

--- a/model_zoo/official/cv/mobilenetv2_quant/README_CN.md
+++ b/model_zoo/official/cv/mobilenetv2_quant/README_CN.md
@ -76,8 +76,8 @@ MobileNetV2总体网络架构如下：
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 脚本说明

--- a/model_zoo/official/cv/mobilenetv2_quant/Readme.md
+++ b/model_zoo/official/cv/mobilenetv2_quant/Readme.md
@ -63,8 +63,8 @@ Users are free to choose whether to use the LEARNED_SCALE optimize option for qu
 - Framework
  - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below:
-  - [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)
+  - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+  - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/mobilenetv3/README_CN.md
+++ b/model_zoo/official/cv/mobilenetv3/README_CN.md
@ -55,8 +55,8 @@ MobileNetV3总体网络架构如下：
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 脚本说明

--- a/model_zoo/official/cv/mobilenetv3/Readme.md
+++ b/model_zoo/official/cv/mobilenetv3/Readme.md
@ -46,8 +46,8 @@ Dataset used: [imagenet](http://www.image-net.org/)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/nasnet/README.md
+++ b/model_zoo/official/cv/nasnet/README.md
@ -43,8 +43,8 @@ Dataset used: [imagenet](http://www.image-net.org/)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/nasnet/README_CN.md
+++ b/model_zoo/official/cv/nasnet/README_CN.md
@ -49,8 +49,8 @@ NASNet总体网络架构如下：
    - [MindSpore](https://www.mindspore.cn/install)

 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/en/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # 脚本说明

--- a/model_zoo/official/cv/openpose/README.md
+++ b/model_zoo/official/cv/openpose/README.md
@ -81,8 +81,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Download the VGG19 model of the MindSpore version:
    - vgg19-0-97_5004.ckpt
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/posenet/README_CN.md
+++ b/model_zoo/official/cv/posenet/README_CN.md
@ -68,8 +68,8 @@ PoseNet是剑桥大学提出的一种鲁棒、实时的6DOF（单目六自由度
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/cv/psenet/README.md
+++ b/model_zoo/official/cv/psenet/README.md
@ -54,8 +54,8 @@ A testing set containing about 2000 readable words
 - Framework
    - [MindSpore](http://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)
 - install Mindspore
 - install [pyblind11](https://github.com/pybind/pybind11)
 - install [Opencv3.4](https://docs.opencv.org/3.4.9/)
@ -340,7 +340,7 @@ The `res` folder is generated in the upper-level directory. For details about th

 ### Inference

-If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/migrate_3rd_scripts.html). Following the steps below, this is a simple example:
+If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/docs/programming_guide/en/master/multi_platform_inference.html). Following the steps below, this is a simple example:

 ```python
 # Load unseen dataset for inference
--- a/model_zoo/official/cv/psenet/README_CN.md
+++ b/model_zoo/official/cv/psenet/README_CN.md
@ -56,8 +56,8 @@
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)
 - 安装Mindspore
 - 安装[pyblind11](https://github.com/pybind/pybind11)
 - 安装[Opencv3.4](https://docs.opencv.org/3.4.9/)
@ -339,7 +339,7 @@ bash run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [DEVICE_ID]

 ### 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/tutorial/training/zh-CN/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/docs/programming_guide/zh-CN/master/multi_platform_inference.html)。操作示例如下：

 ```python
 # 加载未知数据集进行推理
--- a/model_zoo/official/cv/resnet/README.md
+++ b/model_zoo/official/cv/resnet/README.md
@ -90,8 +90,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/resnet/README_CN.md
+++ b/model_zoo/official/cv/resnet/README_CN.md
@ -93,8 +93,8 @@ ResNet的总体网络架构如下：
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/cv/resnet152/README-CN.md
+++ b/model_zoo/official/cv/resnet152/README-CN.md
@ -39,8 +39,8 @@ ResNet152的总体网络架构如下：[链接](https://arxiv.org/pdf/1512.03385
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/cv/resnet50_quant/README.md
+++ b/model_zoo/official/cv/resnet50_quant/README.md
@ -63,8 +63,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
  - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-  - [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)
+  - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+  - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/resnet50_quant/README_CN.md
+++ b/model_zoo/official/cv/resnet50_quant/README_CN.md
@ -71,9 +71,9 @@ ResNet-50总体网络架构如下：

 - 如需查看详情，请参见如下资源：

-  - [MindSpore教程](https://www.mindspore.cn/tutorial/training/en/master/index.html)
+  - [MindSpore教程](https://www.mindspore.cn/tutorials/en/master/index.html)

-  - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
+  - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## 脚本说明

--- a/model_zoo/official/cv/resnet_thor/README.md
+++ b/model_zoo/official/cv/resnet_thor/README.md
@ -57,8 +57,8 @@ The classical first-order optimization algorithm, such as SGD, has a small amoun
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## Quick Start

--- a/model_zoo/official/cv/resnet_thor/README_CN.md
+++ b/model_zoo/official/cv/resnet_thor/README_CN.md
@ -62,8 +62,8 @@ ResNet-50的总体网络架构如下：[链接](https://arxiv.org/pdf/1512.03385
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/cv/resnext/README.md
+++ b/model_zoo/official/cv/resnext/README.md
@ -58,8 +58,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
 - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
- [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)
+- [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+- [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 If you want to run in modelarts, please check the official documentation of [modelarts](https://support.huaweicloud.com/modelarts/), and you can start training and evaluation as follows:

--- a/model_zoo/official/cv/resnext/README_CN.md
+++ b/model_zoo/official/cv/resnext/README_CN.md
@ -65,8 +65,8 @@ ResNeXt整体网络架构如下：
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 如果要在modelarts上进行模型的训练，可以参考modelarts的官方指导文档(https://support.huaweicloud.com/modelarts/)
 开始进行模型的训练和推理，具体操作如下：
--- a/model_zoo/official/cv/retinaface_resnet50/README.md
+++ b/model_zoo/official/cv/retinaface_resnet50/README.md
@ -62,8 +62,8 @@ Dataset acquisition:
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/retinaface_resnet50/README_CN.md
+++ b/model_zoo/official/cv/retinaface_resnet50/README_CN.md
@ -67,8 +67,8 @@ RetinaFace使用ResNet50骨干提取图像特征进行检测。从ModelZoo获取
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/cv/retinanet/README_CN.md
+++ b/model_zoo/official/cv/retinanet/README_CN.md
@ -69,8 +69,8 @@ MSCOCO2017
 - 架构
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 想要获取更多信息，请检查以下资源：
-    - [MindSpore 教程](https://www.mindspore.cn/tutorial/training/en/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
+    - [MindSpore 教程](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [脚本说明](#content)

--- a/model_zoo/official/cv/shufflenetv1/README_CN.md
+++ b/model_zoo/official/cv/shufflenetv1/README_CN.md
@ -50,8 +50,8 @@ ShuffleNetV1的核心部分被分成三个阶段，每个阶段重复堆积了
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore 教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore 教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 脚本说明

--- a/model_zoo/official/cv/shufflenetv2/README.md
+++ b/model_zoo/official/cv/shufflenetv2/README.md
@ -44,8 +44,8 @@ Dataset used: [imagenet](http://www.image-net.org/)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below:
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/simclr/README.md
+++ b/model_zoo/official/cv/simclr/README.md
@ -52,8 +52,8 @@ Dataset used: [CIFAR-10](<http://www.cs.toronto.edu/~kriz/cifar.html>)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/simple_pose/README.md
+++ b/model_zoo/official/cv/simple_pose/README.md
@ -71,8 +71,8 @@ To run the python scripts in the repository, you need to prepare the environment
    - opencv-python 4.3.0.36
    - pycocotools 2.0
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/squeezenet/README.md
+++ b/model_zoo/official/cv/squeezenet/README.md
@ -72,8 +72,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

@ -659,7 +659,7 @@ Inference result is saved in current path, you can find result like this in acc.

 ### Inference

-If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/migrate_3rd_scripts.html). Following the steps below, this is a simple example:
+If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/docs/programming_guide/en/master/multi_platform_inference.html). Following the steps below, this is a simple example:

 - Running on Ascend

--- a/model_zoo/official/cv/srcnn/README.md
+++ b/model_zoo/official/cv/srcnn/README.md
@ -48,8 +48,8 @@ The overall network architecture of SRCNN is show below:
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/tinydarknet/README.md
+++ b/model_zoo/official/cv/tinydarknet/README.md
@ -65,8 +65,8 @@ Dataset used can refer to [paper](<https://ieeexplore.ieee.org/abstract/document
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information,please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/tinydarknet/README_CN.md
+++ b/model_zoo/official/cv/tinydarknet/README_CN.md
@ -73,8 +73,8 @@ Tiny-DarkNet是Joseph Chet Redmon等人提出的一个16层的针对于经典的
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 更多的信息请访问以下链接：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [快速入门](#目录)

--- a/model_zoo/official/cv/unet/README.md
+++ b/model_zoo/official/cv/unet/README.md
@ -113,8 +113,8 @@ python preprocess_dataset.py -d /data/save_data_path
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

@ -471,7 +471,7 @@ The above python command will run in the background. You can view the results th
 ### Inference

 If you need to use the trained model to perform inference on multiple hardware platforms, such as Ascend 910 or Ascend 310, you
-can refer to this [Link](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/migrate_3rd_scripts.html). Following
+can refer to this [Link](https://www.mindspore.cn/docs/programming_guide/en/master/multi_platform_inference.html). Following
 the steps below, this is a simple example:

 #### Running on Ascend 310
--- a/model_zoo/official/cv/unet/README_CN.md
+++ b/model_zoo/official/cv/unet/README_CN.md
@ -117,8 +117,8 @@ python preprocess_dataset.py -d /data/save_data_path
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

@ -469,7 +469,7 @@ python eval.py --data_path=/path/to/data/ --checkpoint_file_path=/path/to/checkp

 #### 推理

-如果您需要使用训练好的模型在Ascend 910、Ascend 310等多个硬件平台上进行推理上进行推理，可参考此[链接](https://www.mindspore.cn/tutorial/training/zh-CN/master/advanced_use/migrate_3rd_scripts.html)。下面是一个简单的操作步骤示例：
+如果您需要使用训练好的模型在Ascend 910、Ascend 310等多个硬件平台上进行推理上进行推理，可参考此[链接](https://www.mindspore.cn/docs/programming_guide/zh-CN/master/multi_platform_inference.html)。下面是一个简单的操作步骤示例：

 ##### Ascend 310环境运行

--- a/model_zoo/official/cv/unet3d/README.md
+++ b/model_zoo/official/cv/unet3d/README.md
@ -67,8 +67,8 @@ Dataset used: [LUNA16](https://luna16.grand-challenge.org/)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/vgg16/README.md
+++ b/model_zoo/official/cv/vgg16/README.md
@ -95,8 +95,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/vgg16/README_CN.md
+++ b/model_zoo/official/cv/vgg16/README_CN.md
@ -98,8 +98,8 @@ VGG 16网络主要由几个基本模块（包括卷积层和池化层）和三
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/cv/warpctc/README.md
+++ b/model_zoo/official/cv/warpctc/README.md
@ -47,8 +47,8 @@ The dataset is self-generated using a third-party library called [captcha](https
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/warpctc/README_CN.md
+++ b/model_zoo/official/cv/warpctc/README_CN.md
@ -52,8 +52,8 @@ WarpCTC是带有一层FC神经网络的二层堆叠LSTM模型。详细信息请
 - 框架
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/cv/xception/README.md
+++ b/model_zoo/official/cv/xception/README.md
@ -65,8 +65,8 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Script description](#contents)

--- a/model_zoo/official/cv/yolov3_darknet53/README.md
+++ b/model_zoo/official/cv/yolov3_darknet53/README.md
@ -79,8 +79,8 @@ Dataset used: [COCO2014](https://cocodataset.org/#download)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/yolov3_darknet53/README_CN.md
+++ b/model_zoo/official/cv/yolov3_darknet53/README_CN.md
@ -81,8 +81,8 @@ YOLOv3使用DarkNet53执行特征提取，这是YOLOv2中的Darknet-19和残差
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/cv/yolov3_darknet53_quant/README.md
+++ b/model_zoo/official/cv/yolov3_darknet53_quant/README.md
@ -58,8 +58,8 @@ Dataset used: [COCO2014](https://cocodataset.org/#download)
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/cv/yolov3_darknet53_quant/README_CN.md
+++ b/model_zoo/official/cv/yolov3_darknet53_quant/README_CN.md
@ -60,8 +60,8 @@ YOLOv3使用DarkNet53执行特征提取，这是YOLOv2中的Darknet-19和残差
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/cv/yolov3_resnet18/README.md
+++ b/model_zoo/official/cv/yolov3_resnet18/README.md
@ -72,8 +72,8 @@ Dataset used: [COCO2017](<http://images.cocodataset.org/>)
 - Framework
  - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-  - [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)
+  - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+  - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/yolov3_resnet18/README_CN.md
+++ b/model_zoo/official/cv/yolov3_resnet18/README_CN.md
@ -77,8 +77,8 @@ YOLOv3整体网络架构如下：
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/cv/yolov4/README.md
+++ b/model_zoo/official/cv/yolov4/README.md
@ -77,8 +77,8 @@ other datasets need to use the same format as MS COCO.
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/yolov4/README_CN.md
+++ b/model_zoo/official/cv/yolov4/README_CN.md
@ -77,8 +77,8 @@ YOLOv4需要CSPDarknet53主干来提取图像特征进行检测。 您可以从
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 更多关于Mindspore的信息，请查看以下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # [快速入门](#目录)

--- a/model_zoo/official/cv/yolov5/README.md
+++ b/model_zoo/official/cv/yolov5/README.md
@ -73,8 +73,8 @@ other datasets need to use the same format as MS COCO.
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/cv/yolov5/README_CN.md
+++ b/model_zoo/official/cv/yolov5/README_CN.md
@ -74,7 +74,7 @@ YOLOv5作为先进的检测器，它比所有可用的替代检测器更快（FP
    - [MindSpore](https://www.mindspore.cn/install)
 - 更多关于Mindspore的信息，请查看以下资源：
    - [MindSpore教程](https://www.mindspore.cn/tutorial/zh-CN/master/index.html)
-    - [MindSpore API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # [快速入门](#目录)

--- a/model_zoo/official/gnn/bgcf/README.md
+++ b/model_zoo/official/gnn/bgcf/README.md
@ -87,8 +87,8 @@ To ultilize the strong computation power of Ascend chip, and accelerate the trai
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below:
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/gnn/bgcf/README_CN.md
+++ b/model_zoo/official/gnn/bgcf/README_CN.md
@ -96,8 +96,8 @@ BGCF包含两个主要模块。首先是抽样，它生成基于节点复制的
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/gnn/gat/README.md
+++ b/model_zoo/official/gnn/gat/README.md
@ -100,8 +100,8 @@ To ultilize the strong computation power of Ascend chip, and accelerate the trai
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below:
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/gnn/gat/README_CN.md
+++ b/model_zoo/official/gnn/gat/README_CN.md
@ -98,8 +98,8 @@
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/gnn/gcn/README.md
+++ b/model_zoo/official/gnn/gcn/README.md
@ -44,8 +44,8 @@ Note that you can run the scripts based on the dataset mentioned in original pap
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#contents)

--- a/model_zoo/official/gnn/gcn/README_CN.md
+++ b/model_zoo/official/gnn/gcn/README_CN.md
@ -52,8 +52,8 @@ GCN包含两个图卷积层。每一层以节点特征和邻接矩阵为输入
 - 框架
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/nlp/bert/README.md
+++ b/model_zoo/official/nlp/bert/README.md
@ -69,8 +69,8 @@ The backbone structure of BERT is transformer. For BERT_base, the transformer co
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

@ -193,7 +193,7 @@ For distributed training among multiple machines, training command should be exe
 Please follow the instructions in the link below to create an hccl.json file in need:
 [https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools).

-For dataset, if you want to set the format and parameters, a schema configuration file with JSON format needs to be created, please refer to [tfrecord](https://www.mindspore.cn/doc/programming_guide/zh-CN/master/dataset_loading.html#tfrecord) format.
+For dataset, if you want to set the format and parameters, a schema configuration file with JSON format needs to be created, please refer to [tfrecord](https://www.mindspore.cn/docs/programming_guide/zh-CN/master/dataset_loading.html#tfrecord) format.

 ```text
 For pretraining, schema file contains ["input_ids", "input_mask", "segment_ids", "next_sentence_labels", "masked_lm_positions", "masked_lm_ids", "masked_lm_weights"].
--- a/model_zoo/official/nlp/bert/README_CN.md
+++ b/model_zoo/official/nlp/bert/README_CN.md
@ -74,8 +74,8 @@ BERT的主干结构为Transformer。对于BERT_base，Transformer包含12个编
 - 框架
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - 更多关于Mindspore的信息，请查看以下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

@ -193,7 +193,7 @@ bash scripts/run_distributed_pretrain_for_gpu.sh 8 40 /path/cn-wiki-128

 在Ascend设备上做多机分布式训练时，训练命令需要在很短的时间间隔内在各台设备上执行。因此，每台设备上都需要准备HCCL配置文件。请参考[here](https://gitee.com/mindspore/mindspore/tree/master/config/hccl_multi_machine_multi_rank.json)创建多机的HCCL配置文件。

-如需设置数据集格式和参数，请创建JSON格式的模式配置文件，详见[TFRecord](https://www.mindspore.cn/doc/programming_guide/zh-CN/master/dataset_loading.html#tfrecord)格式。
+如需设置数据集格式和参数，请创建JSON格式的模式配置文件，详见[TFRecord](https://www.mindspore.cn/docs/programming_guide/zh-CN/master/dataset_loading.html#tfrecord)格式。

 ```text
 For pretraining, schema file contains ["input_ids", "input_mask", "segment_ids", "next_sentence_labels", "masked_lm_positions", "masked_lm_ids", "masked_lm_weights"].
--- a/model_zoo/official/nlp/bert_thor/README.md
+++ b/model_zoo/official/nlp/bert_thor/README.md
@ -54,8 +54,8 @@ The classical first-order optimization algorithm, such as SGD, has a small amoun
 - Framework
    - [MindSpore](https://www.mindspore.cn/install/en)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## Quick Start

--- a/model_zoo/official/nlp/bert_thor/README_CN.md
+++ b/model_zoo/official/nlp/bert_thor/README_CN.md
@ -60,8 +60,8 @@ BERT的总体架构包含3个嵌入层，用于查找令牌嵌入、位置嵌入
 - 框架
    - [MindSpore](https://www.mindspore.cn/install)
 - 更多关于Mindspore的信息，请查看以下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 ## 快速入门

--- a/model_zoo/official/nlp/cpm/README.md
+++ b/model_zoo/official/nlp/cpm/README.md
@ -52,8 +52,8 @@ CPM is implemented by GPT, which includes multi-layer decoder module.
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below:
-    - [MindSpore Tutorials](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # Quick Start

--- a/model_zoo/official/nlp/cpm/README_CN.md
+++ b/model_zoo/official/nlp/cpm/README_CN.md
@ -53,8 +53,8 @@ CPM网络由GPT实现，GPT包括多层解码器模块。
 - 框架
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

--- a/model_zoo/official/nlp/dgu/README_CN.md
+++ b/model_zoo/official/nlp/dgu/README_CN.md
@ -65,8 +65,8 @@ BERT的主干结构为Transformer。对于BERT_base，Transformer包含12个编
 - 框架
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - 更多关于Mindspore的信息，请查看以下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)

 # 快速入门

@ -101,7 +101,7 @@ BERT的主干结构为Transformer。对于BERT_base，Transformer包含12个编

 在Ascend设备上做多机分布式训练时，训练命令需要在很短的时间间隔内在各台设备上执行。因此，每台设备上都需要准备HCCL配置文件。请参考[here](https://gitee.com/mindspore/mindspore/tree/master/config/hccl_multi_machine_multi_rank.json)创建多机的HCCL配置文件。

-如需设置数据集格式和参数，请创建JSON格式的模式配置文件，详见[TFRecord](https://www.mindspore.cn/doc/programming_guide/zh-CN/master/dataset_loading.html#tfrecord)格式。
+如需设置数据集格式和参数，请创建JSON格式的模式配置文件，详见[TFRecord](https://www.mindspore.cn/docs/programming_guide/zh-CN/master/dataset_loading.html#tfrecord)格式。

 ```text
 For pretraining, schema file contains ["input_ids", "input_mask", "segment_ids", "next_sentence_labels", "masked_lm_positions", "masked_lm_ids", "masked_lm_weights"].
--- a/model_zoo/official/nlp/emotect/README_CN.md
+++ b/model_zoo/official/nlp/emotect/README_CN.md
@ -58,8 +58,8 @@ label   text_a
 - 框架
    - [MindSpore](https://www.mindspore.cn/install/en)
 - 如需查看详情，请参见如下资源：
-    - [MindSpore教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html)
-    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
+    - [MindSpore教程](https://www.mindspore.cn/tutorials/zh-CN/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # 快速入门

--- a/model_zoo/official/nlp/fasttext/README.md
+++ b/model_zoo/official/nlp/fasttext/README.md
@ -56,8 +56,8 @@ architecture. In the following sections, we will introduce how to run the script
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## [Quick Start](#content)

--- a/model_zoo/official/nlp/gnmt_v2/README.md
+++ b/model_zoo/official/nlp/gnmt_v2/README.md
@ -51,8 +51,8 @@ Note that you can run the scripts based on the dataset mentioned in original pap
 - Framework
    - Install [MindSpore](https://www.mindspore.cn/install/en).
 - For more information, please check the resources below:
-    - [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)
+    - [MindSpore tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## Software

--- a/model_zoo/official/nlp/gpt/README.md
+++ b/model_zoo/official/nlp/gpt/README.md
@ -34,8 +34,8 @@ GPT3 stacks many layers of decoder of transformer. According to the layer number
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/model_zoo/official/nlp/gru/README.md
+++ b/model_zoo/official/nlp/gru/README.md
@ -51,8 +51,8 @@ In this model, we use the Multi30K dataset as our train and test dataset.As trai
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 ## Requirements

--- a/model_zoo/official/nlp/lstm/README.md
+++ b/model_zoo/official/nlp/lstm/README.md
@ -45,8 +45,8 @@ Note that you can run the scripts based on the dataset mentioned in original pap
 - Framework
    - [MindSpore](https://gitee.com/mindspore/mindspore)
 - For more information, please check the resources below：
-    - [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)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorials/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/docs/api/en/master/index.html)

 # [Quick Start](#contents)

--- a/Show More
+++ b/Show More