Java-Friendly Machine Learning With the JSR381

Machine learning (ML) is a hugely important global trend that affects every part of the stack from the user to the hardware. All developers, and especially Java developers, need to understand how to build apps that use ML.

However, there are not many coding options for Java developers. The current ML libraries available for Java developers have several issues – either they are very complex and designed for data scientists, or they are Java wrappers around C/C++ libraries and don’t “feel” like Java tools.

Now there is JSR381, an open-source, Java-friendly API for ML, specifically visual recognition. This API has a wide range of business applications across many types of industries and use cases. In this session, we will discuss the goals of JSR381 (“VisRec”), review the API, and show code running in IntelliJ IDEA.

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Speaker Name: Frank Greco and Zoran Sevarac

Speaker bio:

1.Zoran Sevarac is an AI and software engineering professor, entrepreneur, and open-source enthusiast. He is a Java champion and co-author of the JSR 381 API, a Java standard API for Visual Recognition using machine learning. His main professional goal is to strengthen the Java AI / machine learning ecosystem. He is an author and co-founder of the Deep Netts development platform for deep learning in Java, which also provides open-source reference implementation of JSR381.

2.Frank Greco has surfed a wide variety of software development waves, from working on telephone call traffic optimization at AT&T Bell Laboratories to co-authoring a visual recognition standard using neural networks and machine learning. He is a Java Champion and the Chairman of the very active and opinionated NYJavaSIG.

Along with Zoran, Frank is the co-author of the JSR 381 Visual Recognition for Java standard API specification and a strong advocate for Java and machine learning. Frank’s goal is to excite, inspire, and educate software developers, technology managers, and organizations on cutting-edge trends and technology.

[DmitryShultz]

There is true passion for music when Frank talks about development (Bass player/Java Dev here🙂

[nanayaw]

I am going to use this in my research project! Thank you for this work!

[s.r.ithewatcher]

I am also willing to learn machine learning and Deep learning in Java can you please tell me how will I learn, and where will I find resources

[isharasamantha]

Hi Team, Please can you share the presentation

[gs-ed]

Please create a charting library like matplotlib which is easy to use and become standard for data science and machine learning in java.

[mklueh]

Why is it called Visual Recognition API when it is also covering other stuff?