Deep learning is an incredibly powerful technology for understanding messy data from the real world—and the TensorFlow machine learning library is the ideal way to harness that power. In this practical report, author Pete Warden, tech lead on the Mobile/Embedded TensorFlow team, demonstrates how to successfully integrate a Tensorflow deep-learning model into your Android and iOS mobile applications.

Aimed specifically at developers who already have a TensorFlow model successfully working in a desktop environment, this report shows you through hands-on examples how to deploy mobile AI applications that are small, fast, and easy to build. You’ll explore use cases for on-device deep learning—such as speech, image, and object recognition—and learn how to deliver interactive applications that complement cloud services.

With this report, you’ll explore: