TensorFlow Hub for real world impact

TensorFlow (TF) Hub is an open source repository of trained machine learning models. In this Session, we show how you can use TF Hub to explore and understand models to build ML solutions with real world impact. We highlight real applications, including using audio models to detect poachers in Africa, and use multilingual models for text understanding in India. We demonstrate how to use TF Hub to build custom models for crop disease detection, and how to deploy these models on-device. Resources: TensorFlow Hub → TensorFlow Hub Tutorials → Speakers: Luiz Gustavo Martins, Elizabeth Kemp