<ul><li>Modern applications increasingly need smart capabilities – from recommendation engines to fraud detection.</li><li>This guide walks through serving a trained ML model via REST API with zero Python dependencies.</li><li>The architecture involves combining TensorFlow Java for model inference and Spring Boot for scalable API delivery.</li><li>The performance optimization tips include batching predictions, adding GPU acceleration, model warmup, and the alternative option of using DJL (Deep Java Library).</li></ul>

Building Predictive APIs with TensorFlow and Spring Boot

Discover more