IBM Cloud: Deploying the TensorFlow Inception Model - DZone Cloud

As a developer, I'm trying to better understand how developers work together with data scientists to build applications that leverage machine learning. In this context, one key question is how developers can access models from their applications. Below is a quick introduction to TensorFlow Serving and a description how to deploy TensorFlow models onto the IBM Cloud. "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."