We all know Machine Learning (ML) is a huge, long-term global trend that affects every part of the stack from the user to the hardware. All developers, especially Java developers, need to understand how to build apps that use ML
Visual Recognition (VisRec) is an important subclass of ML. There are wide business applications for visual recognition across many types of industries and use cases.
But for Java developers, there doesn’t seem to be many coding options other than learning Python. The current ML libraries available for Java developers have several issues. They either are very complex and designed for data scientists, or they are Java wrappers around C/C++ libraries and don’t “feel” like Java tools.
But now there is JSR381, a Java-friendly API for ML. We’ll talk about goals with JSR381, the API, its internal architecture, and run some cool examples. We even have a Star Wars demo that detects Tie Fighters in case they buzz your house!
Speakers Zoran Sevarac – University of Belgrade, Java Champion, NetBeans Dram Team, JSR381 Spec Lead Kevin Berendsen – Senior Software Engineer, OpenValue, JSR381 Contributor Frank Greco – NYJavaSIG Chair, Java Champion, Cloud/ML Consultant, JSR381 Spec Lead
JSR381 INFORMATION
JCP.org https://jcp.org/en/jsr/detail?id=381
JSR Repo github.com/JavaVisRec
Getting Started github.com/JavaVisRec/visrec-api/wiki/Getting-Started-Guide
Examples github.com/JavaVisRec/jsr381-examples
API github.com/JavaVisRec/visrec-api
Mailing List visrec@groups.io