From Research to Production with TensorFlow Serving
TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. TensorFlow Serving makes it easy to deploy new algorithms and experiments, while keeping the same server architecture and APIs. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data.
Learn how to bring your TensorFlow models from research to production. This talk describes how to export and serve your models at scale with TensorFlow Serving. It also covers best practices and lessons learned from large scale serving of machine learned models.