diff --git a/README.cn.md b/README.cn.md
index 8f74b956bbd86abe28f1ad0b9f1f5d0484c29784..59bedb1a60ac40f1b56a9ce8076258d3d6497b92 100644
--- a/README.cn.md
+++ b/README.cn.md
@@ -22,7 +22,7 @@
 只需要在命令行窗口里运行：
 
 ```bash
-docker run -d -p 8888:8888 paddlepaddle/book
+docker run -d -p 8888:8888 paddlepaddle/book:0.10.0
 ```
 
 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 。
@@ -30,7 +30,7 @@ docker run -d -p 8888:8888 paddlepaddle/book
 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
+docker run -d -p 8888:8888 docker.paddlepaddle.org/book:0.10.0
 ```
 
 ### 使用GPU训练
@@ -38,13 +38,13 @@ docker run -d -p 8888:8888 docker.paddlepaddle.org/book
 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:0.10.0rc2-gpu
+nvidia-docker run -d -p 8888:8888 paddlepaddle/book:0.10.0-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:0.10.0rc2-gpu
+nvidia-docker run -d -p 8888:8888 docker.paddlepaddle.org/book:0.10.0-gpu
 ```
 
 还需要将以下代码
diff --git a/README.en.md b/README.en.md
deleted file mode 100644
index 893856f9181acd4f682f7556217477165e8ab9e1..0000000000000000000000000000000000000000
--- a/README.en.md
+++ /dev/null
@@ -1,64 +0,0 @@
-# Deep Learning with PaddlePaddle
-
-1. [Fit a Line](http://book.paddlepaddle.org/01.fit_a_line/index.en.html)
-1. [Recognize Digits](http://book.paddlepaddle.org/02.recognize_digits/index.en.html)
-1. [Image Classification](http://book.paddlepaddle.org/03.image_classification/index.en.html)
-1. [Word to Vector](http://book.paddlepaddle.org/04.word2vec/index.en.html)
-1. [Understand Sentiment](http://book.paddlepaddle.org/05.understand_sentiment/index.en.html)
-1. [Label Semantic Roles](http://book.paddlepaddle.org/06.label_semantic_roles/index.en.html)
-1. [Machine Translation](http://book.paddlepaddle.org/07.machine_translation/index.en.html)
-1. [Recommender System](http://book.paddlepaddle.org/08.recommender_system/index.en.html)
-
-## Running the Book
-
-This book you are reading is interactive -- each chapter can run as a Jupyter Notebook.
-
-We packed this book, Jupyter, PaddlePaddle, and all dependencies into a Docker image. So you don't need to install anything except Docker. If you are using Windows, please follow [this installation guide](https://www.docker.com/docker-windows).  If you are running Mac, please follow [this](https://www.docker.com/docker-mac). For various Linux distros, please refer to https://www.docker.com.  If you are using Windows or Mac, you might want to give Docker [more memory and CPUs/cores](http://stackoverflow.com/a/39720010/724872).
-
-Just type
-
-```bash
-docker run -d -p 8888:8888 paddlepaddle/book:0.10.0
-```
-
-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.
-
-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
-```
-
-### Training with GPU
-
-By default we are using CPU for training, if you want to train with GPU, the steps are a little different.
-
-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
-```
-
-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
-```
-
-Change the code in the chapter that you are reading from
-```python
-paddle.init(use_gpu=False, trainer_count=1)
-```
-
-to:
-```python
-paddle.init(use_gpu=True, trainer_count=1)
-```
-
-
-## Contribute
-
-Your contribution is welcome!  Please feel free to file Pull Requests to add your chapter as a directory under `/pending`. Once it is going stable, the community would like to move it to `/`.
-
-To write, run, and debug your chapters, you will need Python 2.x, Go >1.5. You can build the Docker image using [this script](https://github.com/PaddlePaddle/book/blob/develop/.tools/convert-markdown-into-ipynb-and-test.sh).
-This tutorial is contributed by <a xmlns:cc="http://creativecommons.org/ns#" href="http://book.paddlepaddle.org" property="cc:attributionName" rel="cc:attributionURL">PaddlePaddle</a>, and licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.