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Test doc

Installation

See Installation Guide to install from pre-built package or build from the source code. (Note: The intallation packages are still in pre-release state and your experience of installation may not be smooth.).

documentation

  • Chinese Documentation

  • Quick Start

    You can follow the quick start tutorial to learn how use PaddlePaddle step-by-step.

  • Example and Demo

    We provide five demos, including: image classification, sentiment analysis, sequence to sequence model, recommendation, semantic role labelling.

  • Distributed Training

    This system supports training deep learning models on multiple machines with data parallelism.

  • Python API

    PaddlePaddle supports using either Python interface or C++ to build your system. We also use SWIG to wrap C++ source code to create a user friendly interface for Python. You can also use SWIG to create interface for your favorite programming language.

  • How to Contribute

    We sincerely appreciate your interest and contributions. If you would like to contribute, please read the contribution guide.

  • Source Code Documents

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