Going deep (learning) with TensorFlow and Quarkus | DevNation Tech Talk

By Eric Murphy, Burr Sutter
Published: 2020-04-16

Blending Supersonic, Subatomic Java with deep learning to perform object detection. Sounds interesting? Because it is! Then watch this session to learn how to create a microservice combining TensorFlow and Quarkus together into one executable using GraalVM native image, JNI, and Protobuf. With this, we detect objects in photos by returning labels, bounding boxes, and confidence scores. Additionally, we will touch on Open Data Hub, an AI/ML solution for OpenShift.

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