Groovy: Detecting objects with Groovy, the Deep Java Library (DJL), and Apache MXNet

This blog posts looks at using Apache Groovy with the Deep Java Library (DJL) and backed by the Apache MXNet engine to detect objects within an image. Deep learning falls under the branches of machine learning and artificial intelligence. It involves multiple layers (hence the "deep") of an artificial neural network. There are lots of ways to configure such networks and the details are beyond the scope of this blog post, but we can give some basic details. We will have four input nodes corresponding to the measurements of our four characteristics.