diff --git a/lite/tutorials/source_en/use/timeprofiler_tool.md b/lite/tutorials/source_en/use/timeprofiler_tool.md
index d7abe79fb75a951178dfb014b6ee76ee97813f36..b0e3d35860448974da085d8230d58654bf46868e 100644
--- a/lite/tutorials/source_en/use/timeprofiler_tool.md
+++ b/lite/tutorials/source_en/use/timeprofiler_tool.md
@@ -20,7 +20,7 @@ After model conversion and before inference, you can use the TimeProfiler tool t
 
 To use the TimeProfiler tool, you need to prepare the environment as follows:
 
-- Compilation: Install build dependencies and perform build. The code of the TimeProfiler tool is stored in the `mindspore/lite/tools/time_profile` directory of the MindSpore source code. For details about the build operations, see the [Environment Requirements](https://www.mindspore.cn/lite/tutorial/en/master/compile.html#environment-requirements) and [Compilation Example](https://www.mindspore.cn/lite/tutorial/en/master/compile.html#compilation-example) in the build document.
+- Compilation: Install build dependencies and perform build. The code of the TimeProfiler tool is stored in the `mindspore/lite/tools/time_profile` directory of the MindSpore source code. For details about the build operations, see the [Environment Requirements](https://www.mindspore.cn/lite/tutorial/en/master/build.html#environment-requirements) and [Compilation Example](https://www.mindspore.cn/lite/tutorial/en/master/build.html#compilation-example) in the build document.
 
 - Run: Obtain the `timeprofile` tool and configure environment variables by referring to [Output Description](https://www.mindspore.cn/lite/tutorial/en/master/build.html#output-description) in the build document.
 
diff --git a/tutorials/notebook/computer_vision_application.ipynb b/tutorials/notebook/computer_vision_application.ipynb
index 8913699869a200943ceb1bd55c3b673ac1942a13..6d8dfd2d87f44f46f8ca5573d295735a4ff30d91 100644
--- a/tutorials/notebook/computer_vision_application.ipynb
+++ b/tutorials/notebook/computer_vision_application.ipynb
@@ -71,7 +71,7 @@
    "metadata": {},
    "source": [
     "本次面向Ascend 910 AI处理器硬件平台,将卷积神经网络ResNet加入到案例中，你可以在这里下载完整的样例代码案例作为基础用例：\n",
-    "https://gitee.com/mindspore/docs/blob/master/tutorials/tutorial_code/resnet"
+    "https://gitee.com/mindspore/docs/tree/master/tutorials/tutorial_code/resnet"
    ]
   },
   {
diff --git a/tutorials/notebook/convert_dataset_to_mindspore_data_format/convert_dataset_to_mindspore_data_format.ipynb b/tutorials/notebook/convert_dataset_to_mindspore_data_format/convert_dataset_to_mindspore_data_format.ipynb
index 60f0ffe0c6ad6562918a6295e1e0f7293abc0cfb..f34bc0c817f399bc5bdac90a497910d626d24d5f 100644
--- a/tutorials/notebook/convert_dataset_to_mindspore_data_format/convert_dataset_to_mindspore_data_format.ipynb
+++ b/tutorials/notebook/convert_dataset_to_mindspore_data_format/convert_dataset_to_mindspore_data_format.ipynb
@@ -281,7 +281,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "- 本例中需要的数据位置在https://gitee.com/mindspore/docs/tree/master/tutorials/notebook/convert_dataset_to_mindspore_data_format/csv_data/data.csv\n",
+    "- 本例中需要的数据位置在https://gitee.com/mindspore/docs/blob/master/tutorials/notebook/convert_dataset_to_mindspore_data_format/csv_data/data.csv\n",
     "中，使用过程中可以在此路径下找到文件并下载，并且保存在`jupyter工作目录/dataset/`下，如图所示："
    ]
   },
@@ -838,7 +838,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "3. 准备需要写入的数据，按照用户定义的Schema形式，准备需要写入的样本列表，本例中需要的数据位置在https://gitee.com/mindspore/docs/tree/master/tutorials/notebook/convert_dataset_to_mindspore_data_format/images/transform.jpg\n",
+    "3. 准备需要写入的数据，按照用户定义的Schema形式，准备需要写入的样本列表，本例中需要的数据位置在https://gitee.com/mindspore/docs/blob/master/tutorials/notebook/convert_dataset_to_mindspore_data_format/images/transform.jpg\n",
     "中，使用过程中可以在此路径下找到图片并下载，并且保存在`jupyter工作目录/dataset/`下。"
    ]
   },