Chapter 11: Best Practices and Other Deployment Options
In Chapter 10, Deploying a Deep Learning Network, we introduced the concept of deployment and we showed how to build a workflow to apply a network to new data. In this chapter, we will focus on two more deployment options using the KNIME software.
In the first section of this chapter, you will learn how to deploy a deep learning model as a web application so that end users can execute, interact with, and control the application via a web browser. In order to implement a web application, we need to introduce the KNIME WebPortal, a feature of KNIME Server. Components play a central role in the development of web applications since they are used to implement the interaction points according ...
Get Codeless Deep Learning with KNIME now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
