Amazon's Deep Java Library (DJL) is one of several implementations of the new JSR 381 standard for building machine learning applications in Java.

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Java-based machine learning with Weka As you’ve seen, developing and testing a target function requires well-tuned configuration parameters, such as the proper learning rate or iteration count.

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.

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