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[](http://www.paddlepaddle.org.cn/documentation/docs/en/1.8/beginners_guide/index_en.html) [ [](LICENSE)
Welcome to the PaddlePaddle GitHub.
PaddlePaddle, as the only independent R&D deep learning platform in China, has been officially open-sourced to professional communities since 2016. It is an industrial platform with advanced technologies and rich features that cover core deep learning frameworks, basic model libraries, end-to-end development kits, tools & components as well as service platforms. PaddlePaddle is originated from industrial practices with dedication and commitments to industrialization. It has been widely adopted by a wide range of sectors including manufacturing, agriculture, enterprise service, and so on while serving more than 2.3 million developers. With such advantages, PaddlePaddle has helped an increasing number of partners commercialize AI.
## Installation
We provide users with four installation methods ,which are pip, conda, docker and install with source code.
### PIP Installation
#### <a id="PREQUISITES">PREQUISTIES</a>
##### On Windows:
##### On Linux:
##### On MacOS:
#### <a id="Commands to install">Commands to install</a>
###### cpu:
python2:
`python -m pip install paddlepaddle`
python3:
`python3 -m pip install paddlepaddle`
###### gpu-cuda10.2:
python2:
`python -m pip install paddlepaddle-gpu`
python3:
`python3 -m pip install paddlepaddle-gpu`
###### gpu-cuda9、10.0、10.1、11:
We only release paddlepaddle-gpu cuda10.2 on pypi.
If you want to install paddlepaddle-gpu with cuda version of 9.0 ,10.0 ,10.1 ,or 11.0, commands to install are on our website: [Installation Document](
After the installation is complete, you can use python or python3 to enter the Python interpreter and then use import paddle.fluid and fluid.install_check.run_check() If Your Paddle Fluid is installed succesfully! appears, to verify that the installation was successful. ### Other installation methods If you want to install witch conda or docker or pip,please see commands to install on our website: [Installation Document](https://github.com/PaddlePaddle/Fleet) Accelerated High-Performance Inference over Ubiquitous Deployments [Click here to learn more](https://github.com/PaddlePaddle/models) ## Documentation We provide [English](http://www.paddlepaddle.org.cn/documentation/docs/zh/1.8/beginners_guide/index_cn.html) documentation. [Basic Deep Learning Models](https://www.paddlepaddle.org.cn/documentation/docs/en/user_guides/index_en.html) You might have got the hang of Beginner’s Guide, and wish to model practical problems and build your original networks. [Advanced User Guides](https://www.paddlepaddle.org.cn/documentation/docs/en/api/index_en.html) Our new API enables much shorter programs. [How to Contribute](https://github.com/PaddlePaddle/Paddle/issues): bug reports, feature requests, install issues, usage issues, etc.
](https://travis-ci.org/PaddlePaddle/Paddle</a>)
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