MATLAB Automated Labeling and Iterative Learning

About this Class

Labeling signal data is a very important step in creating AI-based signal processing solutions.  However, this step can be very time consuming and manual. In this beginner/intermediate one-hour session, the attendees will be introduced to signal labeling for use in AI applications and discuss how MATLAB can be used to speed up and simplify the process, from preprocessing to extracting information from signals. The session will cover different approaches for signal labeling, including using algorithms and automating with deep learning models. It will also discuss an iterative method of building deep learning models and reducing human effort in labeling.