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