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[![Build Status](https://travis-ci.org/PaddlePaddle/Paddle.svg?branch=develop)](https://travis-ci.org/PaddlePaddle/Paddle)
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[![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](http://www.paddlepaddle.org/)
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[![Documentation Status](https://img.shields.io/badge/中文文档-最新-brightgreen.svg)](http://www.paddlepaddle.org/cn/index.html)
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[![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](http://www.paddlepaddle.org/develop/doc/)
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[![Documentation Status](https://img.shields.io/badge/中文文档-最新-brightgreen.svg)](http://www.paddlepaddle.org/doc_cn/)
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[![Coverage Status](https://coveralls.io/repos/github/PaddlePaddle/Paddle/badge.svg?branch=develop)](https://coveralls.io/github/PaddlePaddle/Paddle?branch=develop)
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[![Release](https://img.shields.io/github/release/PaddlePaddle/Paddle.svg)](https://github.com/PaddlePaddle/Paddle/releases)
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[![License](https://img.shields.io/badge/license-Apache%202-blue.svg)](LICENSE)
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the capability of PaddlePaddle to make a huge impact for your product.
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## Installation
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Check out the [Install Guide](http://paddlepaddle.org/doc/build/) to install from
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pre-built packages (**docker image**, **deb package**) or
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directly build on **Linux** and **Mac OS X** from the source code.
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It is recommended to check out the
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[Docker installation guide](http://www.paddlepaddle.org/develop/doc/getstarted/build_and_install/docker_install_en.html)
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before looking into the
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[build from source guide](http://www.paddlepaddle.org/develop/doc/getstarted/build_and_install/build_from_source_en.html)
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## Documentation
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Both [English Docs](http://paddlepaddle.org/doc/) and [Chinese Docs](http://paddlepaddle.org/doc_cn/) are provided for our users and developers.
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- [Quick Start](http://paddlepaddle.org/doc/demo/quick_start/index_en) <br>
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You can follow the quick start tutorial to learn how use PaddlePaddle
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step-by-step.
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We provide [English](http://www.paddlepaddle.org/develop/doc/) and
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[Chinese](http://www.paddlepaddle.org/doc_cn/) documentation.
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- [Deep Learning 101](http://book.paddlepaddle.org/index.en.html)
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You might want to start from the this online interactive book that can run in Jupyter Notebook.
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- [Distributed Training](http://www.paddlepaddle.org/develop/doc/howto/usage/cluster/cluster_train_en.html)
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You can run distributed training jobs on MPI clusters.
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- [Distributed Training on Kubernetes](http://www.paddlepaddle.org/develop/doc/howto/usage/k8s/k8s_en.html)
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- [Example and Demo](http://paddlepaddle.org/doc/demo/) <br>
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We provide five demos, including: image classification, sentiment analysis,
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sequence to sequence model, recommendation, semantic role labeling.
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You can also run distributed training jobs on Kubernetes clusters.
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- [Distributed Training](http://paddlepaddle.org/doc/cluster) <br>
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This system supports training deep learning models on multiple machines
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with data parallelism.
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- [Python API](http://www.paddlepaddle.org/develop/doc/api/index_en.html)
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- [Python API](http://paddlepaddle.org/doc/ui/) <br>
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PaddlePaddle supports using either Python interface or C++ to build your
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system. We also use SWIG to wrap C++ source code to create a user friendly
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interface for Python. You can also use SWIG to create interface for your
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favorite programming language.
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Our new API enables much shorter programs.
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- [How to Contribute](http://paddlepaddle.org/doc/build/contribute_to_paddle.html) <br>
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We sincerely appreciate your interest and contributions. If you would like to
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contribute, please read the contribution guide.
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- [How to Contribute](http://www.paddlepaddle.org/develop/doc/howto/dev/contribute_to_paddle_en.html)
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- [Source Code Documents](http://paddlepaddle.org/doc/source/) <br>
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We appreciate your contributions!
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## Ask Questions
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