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:

• PaddlePaddle Introduction : Introduction of the new features of PaddlePaddle 2.0 and description of the PaddlePaddle 2.0 upgrade guide.
• Model Visualization : Introduce VisualDL, a visual tool of PaddlePaddle.
• 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
• Customize OP : Introduce how to customize OP for PaddlePaddle.
• Performance Improving : Introduce how to improve performance of PaddlePaddle.
• Contribution: Introduce how to contribute for PaddlePaddle.
• FLAGS : Introduce the envirenment flags in paddle.

..  toctree::
    :hidden:

    01_paddle2.0_introduction/index_en.rst
    03_VisualDL/index_en.rst
    04_dygraph_to_static/index_en.rst
    05_inference_deployment/index_en.rst
    06_distributed_training/index_en.rst
    07_new_op/index_en.rst
    performance_improving/index_en.rst
    10_contribution/index_en.rst
    flags/flags_en.rst