DEEP series, part 4
The process is directed by DEEP
The previous three parts of our series focused on the technologies “under the hood” of DEEP, the Fraunhofer IKS machine learning toolchain. Now, we take a look at the “big picture” in form of the process steps of the DEEP procedure – how DEEP can be used to get a grip on the problems associated with the use of machine learning (ML) for future flexible quality inspection.
