February 12, 2020

Making the Pass, Part 2: Training a Neural Network with KNIME

In my previous blog posting, I started to explore what it would take to teach a machine learning model how to throw a virtual football to a moving target. If you have not read that article, please go do so: it covers the definition of the problem we are trying to model and how I used KNIME’s parameter optimization nodes to generate the parameters for completing a pass for an arbitrary set of starting conditions. Now that we have figured out how to make a single pass give a set of starting conditions, the first step for this posting was […]