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 a simple speech recognition model in Android

The TensorFlow Android example app for simple speech commands recognition, located at tensorflow/example/android, has code that does audio recording and recognition in the SpeechActivity.java file, which assumes the app needs to be always ready for new audio commands. While this certainly makes sense in some cases, it also results in code that's more complicated than the code that would do recording and recognition only after the user presses a button, like the way Apple's Siri works. In this section, we'll show you how to create a new Android app and add the minimum possible code to record users' speech commands and display recognition results. This should help you more easily integrate the model to your own Android app. But if you need to deal with the case where speech commands should always be automatically...