diff --git a/docs/en/tutorials/install_en.md b/docs/en/tutorials/install_en.md
index 5f96319bb9da910cc588f97f55c58fd6579f83f7..28e77f759587e58513a203be47934ff962c7ef9d 100644
--- a/docs/en/tutorials/install_en.md
+++ b/docs/en/tutorials/install_en.md
@@ -8,7 +8,7 @@ This document introduces how to install PaddleClas and its requirements.
 
 ## Install PaddlePaddle
 
-Python 3.x, CUDA 10.0, CUDNN7.6.4 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than 2.0.0rc1.
+Python 3.x, CUDA 10.0, CUDNN7.6.4 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than 2.0.0.
 
 
 ### Install PaddlePaddle using pip
@@ -16,13 +16,13 @@ Python 3.x, CUDA 10.0, CUDNN7.6.4 nccl2.1.2 and later version are required at fi
 If you want to use PaddlePaddle on GPU, you can use the following command to install PaddlePaddle.
 
 ```bash
-pip install paddlepaddle-gpu==2.0.0rc1 --upgrade
+pip install paddlepaddle-gpu==2.0.0 --upgrade
 ```
 
 If you want to use PaddlePaddle on CPU, you can use the following command to install PaddlePaddle.
 
 ```bash
-pip install paddlepaddle==2.0.0rc1 --upgrade
+pip install paddlepaddle==2.0.0 --upgrade
 ```
 
 ### Install PaddlePaddle from source code
@@ -43,7 +43,7 @@ python -c "import paddle; print(paddle.__version__)"
 ```
 
 Note:
-- Make sure the compiled version is later than PaddlePaddle2.0rc1.
+- Make sure the compiled version is later than PaddlePaddle2.0.
 - Indicate **WITH_DISTRIBUTE=ON** when compiling, Please refer to [Instruction](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3) for more details.
 - When running in docker, in order to ensure that the container has enough shared memory for data read acceleration of Paddle, please set the parameter `--shm_size=8g` at creating a docker container, if conditions permit, you can set it to a larger value.