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)

Audio recognition and robot movement

To use the pre-trained audio recognition model in the TensorFlow tutorial (https://www.tensorflow.org/tutorials/audio_recognition) or its retrained model we described before, we'll reuse a listen.py Python script from https://gist.github.com/aallan, and add the GoPiGo API calls to control the robot movement after it recognizes four basic audio commands: "left," "right," "go," and "stop." The other six commands supported by the pre-trained model—"yes," "no," "up," "down," "on," and "off"—don't apply well in our example, and if you want, you can use a retrained model as shown in Chapter 5, Understanding Simple Speech Commands, to support other voice commands for your specific task.

To run the script, first download the pre...