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.
Overview
Syllabus
ML in Java, YES it's possible! by Mohammed Aboullaite
Taught by
Devoxx