Summary
In this chapter, you learned about two more options to deploy your trained deep learning networks: web applications and REST services. We finished the chapter – and the book – with some tips and tricks to successfully work with deep learning in KNIME Analytics Platform.
In the first section of this chapter, you learned how to build web applications using KNIME WebPortal of KNIME Server so that end users can execute their workflows and interact with the web pages comfortably from a web browser.
Next, you learned how to build, deploy, and call REST services using KNIME Server to integrate your deep learning networks into the company's IT infrastructure. You learned about the many options to define the input and output data structure of the REST service, how to inspect the REST API using the open source Swagger tool, and how to trigger the execution of a REST service from within KNIME Analytics Platform.
In the last section, we collated some tips and...
