diff --git a/tutorials/source_zh_cn/beginner/save_load.ipynb b/tutorials/source_zh_cn/beginner/save_load.ipynb
index 5fc423b8975f1e66b16722c439e134c8ec3dbf05..dd274846da11244eb3d07ecced6bf1c36f4e36f6 100644
--- a/tutorials/source_zh_cn/beginner/save_load.ipynb
+++ b/tutorials/source_zh_cn/beginner/save_load.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# 保存与加载\n",
     "\n",
-    "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/save_load.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/save_load.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_zh_cn/beginner/save_load.ipynb)\n",
+    "[![下载Notebook](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_save_load.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/mindspore_save_load.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/tutorials-develop/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/tutorials-develop/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，现在开始学习如何设置超参和优化模型参数。"
    ]