diff --git a/docs/mindspore/source_en/migration_guide/neural_network_debug.md b/docs/mindspore/source_en/migration_guide/neural_network_debug.md
index 5434992da99fea78227432417471637974a4ccd3..f2fd0d58b221274a60bf7b0a581926303f74d76e 100644
--- a/docs/mindspore/source_en/migration_guide/neural_network_debug.md
+++ b/docs/mindspore/source_en/migration_guide/neural_network_debug.md
@@ -37,7 +37,7 @@ This section introduces the problems and solutions during Network Debugging proc
 
 For script development and network process debugging, we recommend using the PyNative mode for debugging. The PyNative mode supports executing single operators, normal functions and networks, as well as separate operations for computing gradients. In PyNative mode, you can easily set breakpoints and get intermediate results of network execution, and you can also debug the network by means of pdb.
 
-By default, MindSpore is in Graph mode, which can be set as PyNative mode via `context.set_context(mode=context.PYNATIVE_MODE)`. Related examples can be found in [Debugging With PyNative Mode](https://www.mindspore.cn/tutorials/en/master/advanced/pynative_graph/pynative.html).
+By default, MindSpore is in Graph mode, which can be set as PyNative mode via `context.set_context(mode=context.PYNATIVE_MODE)`. Related examples can be found in [Debugging With PyNative Mode](https://www.mindspore.cn/tutorials/zh-CN/master/advanced/pynative_graph/pynative.html).
 
 #### Getting More Error Messages
 
diff --git a/tutorials/experts/source_en/dataset/optimize.ipynb b/tutorials/experts/source_en/dataset/optimize.ipynb
index cf8dfd1b9add30679484baeb12744922c1548bcb..72b653c7bdbd9d7ad8d6b3a0f41503d544232c04 100644
--- a/tutorials/experts/source_en/dataset/optimize.ipynb
+++ b/tutorials/experts/source_en/dataset/optimize.ipynb
@@ -7,7 +7,7 @@
     "\n",
     "`Ascend` `GPU` `CPU` `Data Preparation`\n",
     "\n",
-    "[![Download Notebook](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_notebook_en.png)](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/master/tutorials/experts/en/dataset/mindspore_optimize.ipynb) [![View Source On Gitee](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source_en.png)](https://gitee.com/mindspore/docs/blob/master/tutorials/experts/source_en/dataset/optimize.ipynb)"
+    "[![Download Notebook](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_notebook_en.png)](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/tutorials/experts/en/dataset/mindspore_optimize.ipynb) [![View Source On Gitee](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source_en.png)](https://gitee.com/mindspore/docs/blob/master/tutorials/experts/source_en/dataset/optimize.ipynb)"
    ],
    "metadata": {}
   },
diff --git a/tutorials/experts/source_zh_cn/others/gradient_accumulation.md b/tutorials/experts/source_zh_cn/others/gradient_accumulation.md
index 78761ea365b63842cb77155493482b9832996375..4f47f52002d27f9cf172611af08dd1222a79936f 100644
--- a/tutorials/experts/source_zh_cn/others/gradient_accumulation.md
+++ b/tutorials/experts/source_zh_cn/others/gradient_accumulation.md
@@ -293,7 +293,7 @@ if __name__ == "__main__":
 
 **验证模型:**
 
-通过ModelZoo中`lenet`目录下的[eval.py](https://gitee.com/mindspore/models/blob/master/official/cv/lenet/train.py)，使用保存的CheckPoint文件，加载验证数据集，进行验证。
+通过ModelZoo中`lenet`目录下的[eval.py](https://gitee.com/mindspore/models/blob/master/official/cv/lenet/eval.py)，使用保存的CheckPoint文件，加载验证数据集，进行验证。
 
 ```bash
 python eval.py --data_path=./MNIST_Data --ckpt_path=./gradient_accumulation.ckpt --device_target=GPU