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Explore the possibilities of machine learning in Java with this informative conference talk. Discover why Java, despite not being a top choice for ML, remains a viable option for millions of developers. Learn about the available frameworks for building, saving, and running machine learning models in Java, including a detailed comparison of Deeplearning4J, DJL, and Tribuo. Gain insights into their capabilities and trade-offs through a real-world example. Additionally, get a brief overview of JSR381, an open-source API for machine learning with a focus on visual recognition. Equip yourself with the knowledge to leverage Java's strengths in the rapidly evolving field of artificial intelligence and machine learning.
