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Building Predictive APIs with TensorFlow and Spring Boot
1. Why Combine AI/ML with Spring Boot? Modern applications increasingly need smart capabilities – from recommendation engines to fraud detection. While Python dominates ML development, Java teams can leverage: TensorFlow Java for model inference Spring Boot for scalable API delivery DJL (Deep Java Library) as an alternative framework This guide walks through serving a trained ML model via …
1. Why Combine AI/ML with Spring Boot? Modern applications increasingly need smart capabilities – from recommendation engines to fraud detection. While Python dominates ML development, Java teams can leverage: TensorFlow Java for model inference Spring Boot for scalable API delivery DJL (Deep Java Library) as an alternative framework This guide walks through serving a trained ML model via …
