Talk at DevFest Vancouver 2019.
Various options of on-device ML with TensorFlow: from ready-made APIs to training your own custom models. You will learn the end-to-end process of model training, conversion and deploy to mobile and embedded devices. We will discuss some of the common challenges of working with TFLite and the new features of TFLite in TensorFlow 2.0.