TensorFlow Serving is a flexible, high-performance serving system for machine learning models designed for production environments. This guide shows how to train a simple model and serve this model with TensorFlow Serving using Docker. It also shows how to serve many models simultaneously. * Working knowledge of Python. * Properly installed and configured Python toolchain, including pip. Use [Vultr One-Click Docker](https://docs.vultr.com/one-click-docker) to deploy your Docker instance. This gu......