diff --git a/DockerCPU.md b/DockerCPU.md
index 32e5437..7968a61 100644
--- a/DockerCPU.md
+++ b/DockerCPU.md
@@ -1,75 +1,88 @@
 # For Mac Users
-if you just have a MacBook.deepfacelab gpu mode does not works. however,it can also works with cpu mode.
+If you just have a **MacBook**.DeepFaceLab **GPU** mode does not works. However,it can also works with **CPU** mode.Follow the Steps below will help you build the **DRE** (DeepFaceLab Runtime Environment) Easier.
 
-### 1. Install Docker
+### 1. Open a new terminal and Clone DeepFaceLab with git
+```
+$ git clone git@github.com:Pluckypan/DeepFaceLab.git
+```
+
+### 2. Change the directory to DeepFaceLab
+```
+$ cd DeepFaceLab
+```
+
+### 3. Install Docker
 
 [Docker Desktop for Mac] (https://hub.docker.com/editions/community/docker-ce-desktop-mac)
 
-### 2. Build Docker Image For
+### 4. Build Docker Image For DeepFaceLab
 
 ```
 $ docker build -t deepfacelab-cpu -f Dockerfile.cpu .
 ```
 
-### 3. Mount deepfacelab volume and Run it
+### 5. Mount DeepFaceLab volume and Run it
 
 ```
-$ docker run -p 8888:8888  --hostname deepfacelab-cpu --name deepfacelab-cpu  -v **your source path**:/srv  deepfacelab-cpu
+$ docker run -p 8888:8888  --hostname deepfacelab-cpu --name deepfacelab-cpu  -v **your source path**:/notebooks  deepfacelab-cpu
 # for example
-$ docker run -p 8888:8888  --hostname deepfacelab-cpu --name deepfacelab-cpu  -v $PWD:/srv  deepfacelab-cpu
+$ docker run -p 8888:8888  --hostname deepfacelab-cpu --name deepfacelab-cpu  -v $PWD:/notebooks  deepfacelab-cpu
 ```
 
-then you will see the log:
+PS: Because your current directory is `DeepFaceLab`,so `-v $PWD:/notebooks` means Mount `DeepFaceLab` volume to `notebooks` in **Docker**
+
+And then you will see the log below:
 
 ```
 The Jupyter Notebook is running at:
 http://(deepfacelab-cpu or 127.0.0.1):8888/?token=your token
 ```
 
-### 4. Open a new terminal to run deepfacelab in /srv
+### 6. Open a new terminal to run DeepFaceLab in /notebooks
 
 ```
 $ docker exec -it deepfacelab-cpu bash
-$ cd ../srv/
+$ ls -A
 ```
 
-### 5. Use jupyter in deepfacelab-cpu bash
+### 7. Use jupyter in deepfacelab-cpu bash
 
 ```
 $ jupyter notebook list
 ```
 or just open it on your browser `http://127.0.0.1:8888/?token=your_token`
 
-### 6. Close or Kill Docker Container
+PS: You can run python with jupyter.However,we just run our code in bash.It's simpler and clearer.Now the **DRE** (DeepFaceLab Runtime Environment) almost builded.
+
+### 8. Stop or Kill Docker Container
 
 ```
+$ docker stop deepfacelab-cpu
 $ docker kill deepfacelab-cpu
 ```
 
-### 7. Start Docker Container
+### 9. Start Docker Container
 
 ```
-$ docker start -i deepfacelab-cpu
+# start docker container
+$ docker start deepfacelab-cpu
+# open bash to run deepfacelab
 $ docker exec -it deepfacelab-cpu bash
 ```
 
-### 8. enjoy it
+PS: `STEP 8` or `STEP 9` just show you the way to stop and start **DRE**.
+
+### 10. enjoy it
 
 ```
-$ cd ../srv/
+# make sure you current directory is `/notebooks`
+$ pwd
+# make sure all `DeepFaceLab` code is in current path `/notebooks`
+$ ls -a
+# read and write permission
 $ chmod +x cpu.sh
+# run `DeepFaceLab`
 $ ./cpu.sh
 ```
 
-####  some error
-
-```
-1. localization.py system_locale is NoneType
-# system_locale may be nil
-system_language = system_locale[0:2] if system_locale is not None else "en"
-
-
-```
-
-[Install NVIDIA Driver](http://www.linuxandubuntu.com/home/how-to-install-latest-nvidia-drivers-in-linux)
-[安装N卡驱动](https://linuxstory.org/how-to-install-latest-nvidia-drivers-in-linux/)
+### Details with `DeepFaceLab`
diff --git a/DockerGPU.md b/DockerGPU.md
index c563ecc..15c8c1a 100644
--- a/DockerGPU.md
+++ b/DockerGPU.md
@@ -7,7 +7,10 @@ https://github.com/NVIDIA/nvidia-docker
 ### 8. **IMPORTANT** install cudatoolkit && cudnn
 
 ```
-$ cd ../srv/
 $ chmod +x cuda_9.0_cudnn_7.0_linux.sh
 $ ./cuda_9.0_cudnn_7.0_linux.sh
 ```
+
+
+[Install NVIDIA Driver](http://www.linuxandubuntu.com/home/how-to-install-latest-nvidia-drivers-in-linux)
+[安装N卡驱动](https://linuxstory.org/how-to-install-latest-nvidia-drivers-in-linux/)