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Beginner's Guide
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PaddlePaddle (PArallel Distributed Deep LEarning) is a
simple, efficient and extensible deep learning framework.

Please refer to  `PaddlePaddle Github <https://github.com/PaddlePaddle/Paddle>`_ for details, and  `release note <../release_note_en.html>`_ for features incorporated in current version.

For beginners of PaddlePaddle, the following documentation will tutor you about installing PaddlePaddle:

    - `Installation Manuals <../beginners_guide/install/index_en.html>`_ ：Installation on Ubuntu/CentOS/Windows/MacOS is supported.

If you have been armed with certain level of deep learning knowledge, and it happens to be the first time to try PaddlePaddle, the following cases of model building will expedite your learning process:

    - `Programming with Fluid <../beginners_guide/programming_guide/programming_guide_en.html>`_ ： Core concepts and basic usage of Fluid

    - `Quick Start <../beginners_guide/quick_start/index_en.html>`_： Two easy-to-go models, linear regression model and digit recognition model, are in place to speed up your study of training neural networks

    - `Deep Learning  Basics <../beginners_guide/basics/index_en.html>`_： This section encompasses various fields of fundamental deep learning knowledge, such as image classification, customized recommendation, machine translation, and examples implemented by Fluid are provided.


..  toctree::
    :hidden:

    install/index_en.rst
    programming_guide/programming_guide_en.md