index_en.rst

Guides

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

Please refer to PaddlePaddle Github for details, and Release Note for features incorporated in current version.

Let's start with studying basic concept of PaddlePaddle:

• Model Development
• More Uses for Model Development
• Dygraph to Static Graph : Introduce the transformation of dygraph to static graph.
• Inference and Deployment : Introduce the method of using the trained model to inference.
• Distributed Training : Introduce how the PaddlePaddle uses distributed training
• Performance Improving : Introduce how to improve performance of PaddlePaddle.
• Model Convert : Introduce how to convert your model to PaddlePaddle.
• FLAGS : Introduce the envirenment flags in paddle.

..  toctree::
    :hidden:

    beginner/index_en.rst
    advanced/index_en.rst
    jit/index_en.rst
    infer/index_en.rst
    06_distributed_training/index_en.rst
    performance_improving/index_en.rst
    model_convert/index_en.rst
    flags/flags_en.rst