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@ -1,7 +1,5 @@
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# PaddlePaddle
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[](http://ctcspeechrecognition.readthedocs.io/en/latest/?badge=latest)
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PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use,
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efficient, flexible and scalable deep learning platform, which is originally
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developed by Baidu scientists and engineers for the purpose of applying deep
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@ -46,34 +44,35 @@ learning to many products at Baidu.
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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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See [installation guide]() to build and install from the source code or install
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the Docker Image.
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See [Installation Guide](http://paddlepaddle.org/doc/build/) to install from pre-built package or build from the source code.
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## Documentation
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- [Quick Start]() <br>
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- [Chinese Documentation](http://paddlepaddle.org/doc_cn/) <br>
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- [Quick Start](http://paddlepaddle.org/doc/demo/quick_start/) <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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- [Example and Demo]() <br>
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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 labelling.
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- [Distributed Training]() <br>
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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]() <br>
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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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- [How to Contribute]() <br>
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We sincerely appreciate your interest and contributions. If you’d like to
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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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- [Source Code Documents]() <br>
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- [Source Code Documents](http://paddlepaddle.org/doc/source/) <br>
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## Ask Questions
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If you want to ask questions and discuss about methods and models, welcome
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