diff --git a/Software/Applications/Tensorflow/Docker_TensorFlow_Jupyter_环境搭建.md b/Software/Applications/Tensorflow/Docker_TensorFlow_Jupyter_环境搭建.md
index 76bb00e..3eb466a 100644
--- a/Software/Applications/Tensorflow/Docker_TensorFlow_Jupyter_环境搭建.md
+++ b/Software/Applications/Tensorflow/Docker_TensorFlow_Jupyter_环境搭建.md
@@ -9,7 +9,9 @@ docker run -t -p 1008:8888 -e JUPYTER_ENABLE_LAB=yes --name=tensorflow --privile
 docker run -t -p 1008:8888 -e JUPYTER_ENABLE_LAB=yes --name=tensorflow --privileged -v <host dir>:/home/jovyan jupyter/tensorflow-notebook:ubuntu-18.04
 ```
 
-## 2.使能插件
+之后通过浏览器访问对应 IP:Port 即可。
+
+## 2.使能 Jupyter Lab 插件
 
 settings->Advanced Settings Editor->Extension Manager
 
@@ -22,3 +24,25 @@ settings->Advanced Settings Editor->Extension Manager
 ```
 
 然后 Save User Settings，刷新网页。侧边栏会显示“插件选项”在其中可进行搜索、安装和卸载等插件管理操作。
+
+## 3.Jupyter Notebook 配置
+
+```bash
+docker exec -it <container name/id> pip install jupyter_contrib_nbextensions
+docker exec -it <container name/id> jupyter contrib nbextension install --user --skip-running-check
+# 重启容器
+docker stop <container name/id>
+docker start -a <container name/id>
+```
+
+访问 Jupyter Notebook->Nbextensions，勾选：
+
+1. Highlight selected word
+2. highlighter
+3. jupyter-js-widgets/extension
+4. Table of Contents
+5. contrib_nbextensions_help_item
+6. Hinterland
+7. jupyter-matplotlib/extension
+8. Nbextensions dashboard tab
+9. Nbextensions edit menu item