diff --git a/docs/mindspore/programming_guide/source_zh_cn/api_structure.ipynb b/docs/mindspore/programming_guide/source_zh_cn/api_structure.ipynb
index 51c60cf84aaa0ec6923dd9e0d2d6f6521391e91d..f15c70d33e5e50aef52ee1271cc9d8add13f9f05 100644
--- a/docs/mindspore/programming_guide/source_zh_cn/api_structure.ipynb
+++ b/docs/mindspore/programming_guide/source_zh_cn/api_structure.ipynb
@@ -44,7 +44,8 @@
"目前主流的深度学习框架的执行模式有两种，分别为静态图模式和动态图模式。静态图模式拥有较高的训练性能，但难以调试。动态图模式相较于静态图模式虽然易于调试，但难以高效执行。MindSpore提供了动态图和静态图统一的编码方式，大大增加了静态图和动态图的可兼容性，用户无需开发多套代码，仅变更一行代码便可切换动态图/静态图模式，例如设置`context.set_context(mode=context.PYNATIVE_MODE)`切换成动态图模式，设置`context.set_context(mode=context.GRAPH_MODE)`即可切换成静态图模式，用户可拥有更轻松的开发调试及性能体验。\n",
"\n",
"神经网络模型通常基于梯度下降算法进行训练，但手动求导过程复杂，结果容易出错。MindSpore的基于源码转换（Source Code Transformation，SCT）的自动微分（Automatic Differentiation）机制采用函数式可微分编程架构，在接口层提供Python编程接口，包括控制流的表达。用户可聚焦于模型算法的数学原生表达，无需手动进行求导，自动微分的样例代码如下所示。"
- ]
+ ],
+ "metadata": {}
},
{
"cell_type": "code",
diff --git a/docs/mindspore/programming_guide/source_zh_cn/custom_debugging_info.md b/docs/mindspore/programming_guide/source_zh_cn/custom_debugging_info.md
index 6129d9265beff201deae8538034a27ba616cfef0..18112a531f7e844db5569c858b01606761131899 100644
--- a/docs/mindspore/programming_guide/source_zh_cn/custom_debugging_info.md
+++ b/docs/mindspore/programming_guide/source_zh_cn/custom_debugging_info.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `模型调优`
-
+
diff --git a/docs/mindspore/programming_guide/source_zh_cn/debug_in_pynative_mode.ipynb b/docs/mindspore/programming_guide/source_zh_cn/debug_in_pynative_mode.ipynb
index 4ed043207a3874a367ea7e3343965db6787d014e..3316b3d75d9518dc9aaca0a1d632026987305bb4 100644
--- a/docs/mindspore/programming_guide/source_zh_cn/debug_in_pynative_mode.ipynb
+++ b/docs/mindspore/programming_guide/source_zh_cn/debug_in_pynative_mode.ipynb
@@ -756,7 +756,7 @@
{
"cell_type": "code",
"execution_count": 12,
- "id": "be24bd1e",
+ "id": "ef703b78",
"metadata": {},
"outputs": [
{
diff --git a/docs/mindspore/programming_guide/source_zh_cn/design/dynamic_graph_and_static_graph.ipynb b/docs/mindspore/programming_guide/source_zh_cn/design/dynamic_graph_and_static_graph.ipynb
index e82bf4cca8dce60630bf2122c2c8410c77a148d3..b66b5213fe8c90e9ef579a4c2e58c2784e2e15f7 100644
--- a/docs/mindspore/programming_guide/source_zh_cn/design/dynamic_graph_and_static_graph.ipynb
+++ b/docs/mindspore/programming_guide/source_zh_cn/design/dynamic_graph_and_static_graph.ipynb
@@ -8,7 +8,7 @@
"\n",
"`Ascend` `GPU` `CPU` `设计` `模型运行`\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX2R5bmFtaWNfZ3JhcGhfYW5kX3N0YXRpY19ncmFwaC5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_dynamic_graph_and_static_graph.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_dynamic_graph_and_static_graph.py) [](https://gitee.com/mindspore/docs/blob/master/docs/mindspore/programming_guide/source_zh_cn/design/dynamic_graph_and_static_graph.ipynb)\n",
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vZGVzaWduL21pbmRzcG9yZV9keW5hbWljX2dyYXBoX2FuZF9zdGF0aWNfZ3JhcGguaXB5bmI=&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/design/mindspore_dynamic_graph_and_static_graph.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/design/mindspore_dynamic_graph_and_static_graph.py) [](https://gitee.com/mindspore/docs/blob/master/docs/mindspore/programming_guide/source_zh_cn/design/dynamic_graph_and_static_graph.ipynb)\n",
"\n",
"## 静态图和动态图的概念\n",
"\n",
diff --git a/docs/mindspore/programming_guide/source_zh_cn/design/heterogeneous_training.ipynb b/docs/mindspore/programming_guide/source_zh_cn/design/heterogeneous_training.ipynb
index f17859eefe3756eabfc23cd873022d68138c7586..bc705e4a150d6ef924123bbec799ec24f806c1a6 100644
--- a/docs/mindspore/programming_guide/source_zh_cn/design/heterogeneous_training.ipynb
+++ b/docs/mindspore/programming_guide/source_zh_cn/design/heterogeneous_training.ipynb
@@ -8,7 +8,7 @@
"\n",
"`Ascend` `GPU` `设计` `模型运行`\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX2hldGVyb2dlbmVvdXNfdHJhaW5pbmcuaXB5bmI=&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_heterogeneous_training.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_heterogeneous_training.py) [](https://gitee.com/mindspore/docs/blob/master/docs/mindspore/programming_guide/source_zh_cn/design/heterogeneous_training.ipynb)\n",
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vZGVzaWduL21pbmRzcG9yZV9oZXRlcm9nZW5lb3VzX3RyYWluaW5nLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/design/mindspore_heterogeneous_training.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/design/mindspore_heterogeneous_training.py) [](https://gitee.com/mindspore/docs/blob/master/docs/mindspore/programming_guide/source_zh_cn/design/heterogeneous_training.ipynb)\n",
"\n",
"## 概述\n",
"\n",
diff --git a/docs/mindspore/programming_guide/source_zh_cn/enable_graph_kernel_fusion.md b/docs/mindspore/programming_guide/source_zh_cn/enable_graph_kernel_fusion.md
index f9b119d13c480583f0549f4580aaa2b5dbf0bcd5..94e9efce698d12f61aa3e211675e9a484d4aae42 100644
--- a/docs/mindspore/programming_guide/source_zh_cn/enable_graph_kernel_fusion.md
+++ b/docs/mindspore/programming_guide/source_zh_cn/enable_graph_kernel_fusion.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `模型调优`
-
+
## 概述
diff --git a/docs/notebook/mindinsight/mindinsight_dashboard.ipynb b/docs/notebook/mindinsight/mindinsight_dashboard.ipynb
index 6746d1eac372ebdcd0cda8c5c393c53a8b496798..74a07c6003ff95021ff435b80ba32a0b8817b6a0 100644
--- a/docs/notebook/mindinsight/mindinsight_dashboard.ipynb
+++ b/docs/notebook/mindinsight/mindinsight_dashboard.ipynb
@@ -6,7 +6,7 @@
"source": [
"# MindInsight训练看板\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvbm90ZWJvb2svbWluZHNwb3JlX21pbmRpbnNpZ2h0X2Rhc2hib2FyZC5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/notebook/mindspore_mindinsight_dashboard.ipynb) [](https://gitee.com/mindspore/docs/blob/master/docs/notebook/mindinsight/mindinsight_dashboard.ipynb)\n",
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvbm90ZWJvb2svbWluZGluc2lnaHQvbWluZHNwb3JlX21pbmRpbnNpZ2h0X2Rhc2hib2FyZC5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/notebook/mindinsight/mindspore_mindinsight_dashboard.ipynb) [](https://gitee.com/mindspore/docs/blob/master/docs/notebook/mindinsight/mindinsight_dashboard.ipynb)\n",
"\n",
"通过MindSpore可以将训练过程中的标量、图像、参数分布直方图、张量、计算图和数据图记录到summary日志文件中，并通过MindInsight提供的可视化界面进行查看。\n",
"\n",
diff --git a/docs/notebook/mindinsight/mindspore_lineage_and_scalars_comparison.ipynb b/docs/notebook/mindinsight/mindspore_lineage_and_scalars_comparison.ipynb
index ba32e22e1ebb1027fa76a71bb009b553aaa59566..fcf59e92081638bb518c5475d4a00f2ff305d443 100644
--- a/docs/notebook/mindinsight/mindspore_lineage_and_scalars_comparison.ipynb
+++ b/docs/notebook/mindinsight/mindspore_lineage_and_scalars_comparison.ipynb
@@ -6,7 +6,7 @@
"source": [
"# MindInsight的溯源分析和对比分析体验\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvbm90ZWJvb2svbWluZHNwb3JlX2xpbmVhZ2VfYW5kX3NjYWxhcnNfY29tcGFyaXNvbi5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/notebook/mindspore_lineage_and_scalars_comparison.ipynb) [](https://gitee.com/mindspore/docs/blob/master/docs/notebook/mindinsight/mindspore_lineage_and_scalars_comparison.ipynb)"
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=HR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvbm90ZWJvb2svbWluZGluc2lnaHQvbWluZHNwb3JlX2xpbmVhZ2VfYW5kX3NjYWxhcnNfY29tcGFyaXNvbi5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/notebook/mindinsight/mindspore_lineage_and_scalars_comparison.ipynb) [](https://gitee.com/mindspore/docs/blob/master/docs/notebook/mindinsight/mindspore_lineage_and_scalars_comparison.ipynb)"
]
},
{
diff --git a/tutorials/source_zh_cn/beginner/autograd.ipynb b/tutorials/source_zh_cn/beginner/autograd.ipynb
index 61192791d7575b0bcfd84c79426696ed10e928a7..6d46ffe93fa225f7b841a4f9538f39de2676fbfa 100644
--- a/tutorials/source_zh_cn/beginner/autograd.ipynb
+++ b/tutorials/source_zh_cn/beginner/autograd.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 自动微分\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_autograd.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_autograd.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/autograd.ipynb)\n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_autograd.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_autograd.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/autograd.ipynb)\n",
"\n",
"自动微分能够计算可导函数在某点处的导数值，是反向传播算法的一般化。自动微分主要解决的问题是将一个复杂的数学运算分解为一系列简单的基本运算，该功能对用户屏蔽了大量的求导细节和过程，大大降低了框架的使用门槛。\n",
"\n",
diff --git a/tutorials/source_zh_cn/beginner/dataset.ipynb b/tutorials/source_zh_cn/beginner/dataset.ipynb
index 7425124b763f233df87365edbfd8ed06a6a2a520..a065c536129db7d8b9f457a2a36198d66a573dc9 100644
--- a/tutorials/source_zh_cn/beginner/dataset.ipynb
+++ b/tutorials/source_zh_cn/beginner/dataset.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 数据处理\n",
"\n",
- "[](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/tutorials/zh_cn/mindspore_dataset.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/tutorials/zh_cn/mindspore_dataset.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/dataset.ipynb)\n",
+ "[](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/tutorials/zh_cn/beginner/mindspore_dataset.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/tutorials/zh_cn/beginner/mindspore_dataset.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/dataset.ipynb)\n",
"\n",
"数据是深度学习的基础，高质量数据输入会在整个深度神经网络中起到积极作用。\n",
"\n",
diff --git a/tutorials/source_zh_cn/beginner/infer.ipynb b/tutorials/source_zh_cn/beginner/infer.ipynb
index c7f2524a30c7ca046f215d229d0e77fe94a2fdd5..5068c250950d25d7f7dc0c651d0ead310547abbb 100644
--- a/tutorials/source_zh_cn/beginner/infer.ipynb
+++ b/tutorials/source_zh_cn/beginner/infer.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 推理与部署\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_infer.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_infer.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/infer.ipynb)\n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_infer.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_infer.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/infer.ipynb)\n",
"\n",
"本章使用MindSpore Vision中的`mobilenet_v2`网络微调的方法来开发一个AI应用（狗和牛角包分类），并将训练好的网络模型部署到Android手机上，执行推理和部署功能。\n",
"\n",
diff --git a/tutorials/source_zh_cn/beginner/model.ipynb b/tutorials/source_zh_cn/beginner/model.ipynb
index ed7d0d153ca3d1d9992847ba10595588a3627127..483ec055a91dd4433c1efdc534f2f25666f423bf 100644
--- a/tutorials/source_zh_cn/beginner/model.ipynb
+++ b/tutorials/source_zh_cn/beginner/model.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 创建网络\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_model.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_model.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/model.ipynb)\n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_model.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_model.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/model.ipynb)\n",
"\n",
"神经网络模型由多个数据操作层组成，`mindspore.nn`提供了各种网络基础模块。本章以构建LeNet-5网络为例，先展示使用`mindspore.nn`建立神经网络模型，再展示使用`mindvision.classification.models`快速构建LeNet-5网络模型。\n",
"\n",
diff --git a/tutorials/source_zh_cn/beginner/quick_start.ipynb b/tutorials/source_zh_cn/beginner/quick_start.ipynb
index 5eea98524c6dffb3b26c9c9d081d1137ad342c21..abd8bb4f741b01aedcaba839bbc08f6051462d00 100644
--- a/tutorials/source_zh_cn/beginner/quick_start.ipynb
+++ b/tutorials/source_zh_cn/beginner/quick_start.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 快速入门：手写数字识别\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_quick_start.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_quick_start.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/quick_start.ipynb)\n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_quick_start.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_quick_start.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/quick_start.ipynb)\n",
"\n",
"本章节贯穿MindSpore深度学习的基本流程，以LeNet5网络模型为例子，实现深度学习中的常见任务。"
]
diff --git a/tutorials/source_zh_cn/beginner/save_load.ipynb b/tutorials/source_zh_cn/beginner/save_load.ipynb
index 00092b5dac0035017a03a05af41731d2f1493064..c7d81b318c6d96058abdecc94b17d1c443cc0a46 100644
--- a/tutorials/source_zh_cn/beginner/save_load.ipynb
+++ b/tutorials/source_zh_cn/beginner/save_load.ipynb
@@ -6,8 +6,8 @@
"source": [
"# 保存与加载\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_save_load.ipynb) \n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_save_load.py) \n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_save_load.ipynb) \n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_save_load.py) \n",
"[](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/save_load.ipynb)\n",
"\n",
"上一章节的内容里面主要是介绍了如何调整超参数，并进行网络模型训练。训练网络模型的过程中，实际上我们希望保存中间和最后的结果，用于微调（fine-tune）和后续的模型部署和推理，本章节我们开始学习如何保存与加载模型。\n",
diff --git a/tutorials/source_zh_cn/beginner/tensor.ipynb b/tutorials/source_zh_cn/beginner/tensor.ipynb
index b71178d1e02412e0b7aab1dedbae3d7cbe515507..1493b765dff04c1aa2f2c52d17298c4cfdff0c6a 100644
--- a/tutorials/source_zh_cn/beginner/tensor.ipynb
+++ b/tutorials/source_zh_cn/beginner/tensor.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 张量 Tensor\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_tensor.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_tensor.py)\n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_tensor.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_tensor.py)\n",
" [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/tensor.ipynb)\n",
"\n",
"张量（Tensor）是一个可用来表示在一些矢量、标量和其他张量之间的线性关系的多线性函数，这些线性关系的基本例子有内积、外积、线性映射以及笛卡儿积。其坐标在 $n$ 维空间内，有 $n^{r}$ 个分量的一种量，其中每个分量都是坐标的函数，而在坐标变换时，这些分量也依照某些规则作线性变换。$r$ 称为该张量的秩或阶（与矩阵的秩和阶均无关系）。\n",
diff --git a/tutorials/source_zh_cn/beginner/train.ipynb b/tutorials/source_zh_cn/beginner/train.ipynb
index 2b3d50120c69cfeaa5368ecbb06ca556db7212c7..9911f1a44e5addce04963d134e7f8cb4676ce63c 100644
--- a/tutorials/source_zh_cn/beginner/train.ipynb
+++ b/tutorials/source_zh_cn/beginner/train.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 模型训练\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_train.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/mindspore_train.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/train.ipynb)\n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_train.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/tutorials/zh_cn/beginner/mindspore_train.py) [](https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/beginner/train.ipynb)\n",
"\n",
"通过上面章节的学习，我们已经学会如何创建模型和构建数据集，现在开始学习如何设置超参和优化模型参数。\n",
"\n",