## Introduction to High/Low-level APICurrently PaddlePaddle Fluid has 2 branches of API interfaces:- Low-level API: - It is highly flexible and relatively mature. The model trained by it can directly support C++ inference deployment and release. - There are a large number of models as examples, including all chapters in [book](https://github.com/PaddlePaddle/book), and [models](https://github.com/PaddlePaddle/models). - Recommended for users who have a certain understanding of deep learning and need to customize a network for training/inference/online deployment.- High-level API: - Simple to use - Still under development. the interface is temporarily in [paddle.fluid.contrib](https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/fluid/contrib).
