Book Image

Intelligent Mobile Projects with TensorFlow

By : Jeff Tang
Book Image

Intelligent Mobile Projects with TensorFlow

By: Jeff Tang

Overview of this book

As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips.
Table of Contents (14 chapters)

Using TensorFlow Lite in iOS

Before we show you how to create a new iOS app and add the TensorFlow Lite support to it, let's first take a look at a couple of sample TensorFlow iOS apps using TensorFlow Lite.

Running the example TensorFlow Lite iOS apps

There are two TensorFlow Lite example apps for iOS, named simple and camera, similar to the TensorFlow Mobile iOS apps simple and camera, but implemented in the TensorFlow Lite API, in the official releases of TensorFlow 1.5 - 1.8 at https://github.com/tensorflow/tensorflow/releases, and likely also in the latest TensorFlow repo. You can run the following commands to prepare and run the two apps, similarly documented under "iOS Demo App" at https://github.com...