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Explore the possibilities of machine learning in Java through this informative conference talk. Discover why Java, despite not being a top choice for ML, remains a viable option for millions of developers. Delve into the various frameworks available for building, saving, and running machine learning models in Java. Compare the capabilities and trade-offs of three popular frameworks: Deeplearning4J, DJL, and Tribuo, through real-world examples. Gain insights into JSR381, an open-source API for machine learning with a focus on visual recognition. Learn how to leverage your Java skills to create and deploy AI applications, keeping pace with the rapidly evolving field of artificial intelligence.
