Welcome to the TensorFlow Serving C++ API documentation!

TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It deals with the inference aspect of machine learning, taking models after training and managing their lifetimes, providing clients with versioned access via a high-performance, reference-counted lookup table. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data.

These are just the C++ API docs - there's a whole lot more to this project at the links below:

• Return to the main project documentation.
• Visit the repository on GitHub.
• Browse the list of C++ classes.
• View a file tree for the project.