In this article, we demonstrate how Java developers can use the JSR-381 VisRec API to implement image classification or object detection with DJL’s pre-trained models in less than 10 lines of code.

Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.

Java is a network-savvy language. Java’s extensive network library makes it easy to cope with Transmission Control Protocol/Internet Protocol (TCP/IP) network protocols like HTTP (HyperText ...

Amazon has announced DJL, an open source library to develop Deep Learning models in Java. This article details how to get started with the toolkit.

A cleaner approach is to introduce a third-party Java library such as Google Guava or Apache Commons, both of which provide a Multimap class to address the issue. Multiple values per key with Apache ...

For more on that, check out our guide to Android development for beginners. For the purposes of this Java tutorial, it may be easier to write your code directly into a Java compiler app.

Java's a great language to work with, for a lot of reasons. One of the strongest is its ecosystem -- if you need a library to do something, there's a good chance that someone else published a library ...

I'm purely a Java guy, and we'll eventually get to a pure Java library, but in the meantime I'd like to test using something like JNA. I'm wanting to keep this under a linux environment.

Learn about serialization in Java with our comprehensive tutorial. We provide examples to help you understand how serialization works and how to use it. Serialization is a fundamental concept in ...