Merge pull request #350 from juliecbd/doc_latest_docker

Modify doc to point the lastest docker images

README.cn.md

@@ -24,7 +24,7 @@
 只需要在命令行窗口里运行：
 
 ```bash
-docker run -d -p 8888:8888 paddlepaddle/book:0.10.0
+docker run -d -p 8888:8888 paddlepaddle/book
 ```
 
 会从DockerHub.com下载和运行本书的Docker image。阅读和在线编辑本书请在浏览器里访问 http://localhost:8888 。
@@ -32,7 +32,7 @@ docker run -d -p 8888:8888 paddlepaddle/book:0.10.0
 如果您访问DockerHub.com很慢，可以试试我们的另一个镜像docker.paddlepaddle.org：
 
 ```bash
-docker run -d -p 8888:8888 docker.paddlepaddle.org/book:0.10.0
+docker run -d -p 8888:8888 docker.paddlepaddle.org/book
 ```
 
 ### 使用GPU训练
@@ -40,13 +40,13 @@ docker run -d -p 8888:8888 docker.paddlepaddle.org/book:0.10.0
 本书默认使用CPU训练，若是要使用GPU训练，使用步骤会稍有变化。为了保证GPU驱动能够在镜像里面正常运行，我们推荐使用[nvidia-docker](https://github.com/NVIDIA/nvidia-docker)来运行镜像。请先安装nvidia-docker，之后请运行：
 
 ```bash
-nvidia-docker run -d -p 8888:8888 paddlepaddle/book:0.10.0-gpu
+nvidia-docker run -d -p 8888:8888 paddlepaddle/book:latest-gpu
 ```
 
 或者使用国内的镜像请运行：
 
 ```bash
-nvidia-docker run -d -p 8888:8888 docker.paddlepaddle.org/book:0.10.0-gpu
+nvidia-docker run -d -p 8888:8888 docker.paddlepaddle.org/book:latest-gpu
 ```
 
 还需要将以下代码

README.md

@@ -22,7 +22,8 @@ We packed this book, Jupyter, PaddlePaddle, and all dependencies into a Docker i
 Just type
 
 ```bash
-docker run -d -p 8888:8888 paddlepaddle/book:0.10.0
+docker run -d -p 8888:8888 paddlepaddle/book
+
 ```
 
 This command will download the pre-built Docker image from DockerHub.com and run it in a container.  Please direct your Web browser to http://localhost:8888 to read the book.
@@ -30,7 +31,8 @@ This command will download the pre-built Docker image from DockerHub.com and run
 If you are living in somewhere slow to access DockerHub.com, you might try our mirror server docker.paddlepaddle.org:
 
 ```bash
-docker run -d -p 8888:8888 docker.paddlepaddle.org/book:0.10.0
+docker run -d -p 8888:8888 docker.paddlepaddle.org/book
+
 ```
 
 ### Training with GPU
@@ -40,13 +42,15 @@ By default we are using CPU for training, if you want to train with GPU, the ste
 To make sure GPU can be successfully used from inside container, please install [nvidia-docker](https://github.com/NVIDIA/nvidia-docker). Then run:
 
 ```bash
-nvidia-docker run -d -p 8888:8888 paddlepaddle/book:0.10.0-gpu
+nvidia-docker run -d -p 8888:8888 paddlepaddle/book:latest-gpu
+
 ```
 
 Or you can use the image registry mirror in China:
 
 ```bash
-nvidia-docker run -d -p 8888:8888 docker.paddlepaddle.org/book:0.10.0-gpu
+nvidia-docker run -d -p 8888:8888 docker.paddlepaddle.org/book:latest-gpu
+
 ```
 
 Change the code in the chapter that you are reading from