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:
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.