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)

Summary

In this chapter, we first gave a quick overview of speech recognition and how modern ASR systems were built using end-to-end deep learning methods. Then we covered how to train a TensorFlow model to recognize simple speech commands, and presented step-by-step tutorials on how to use the model in an Android app, as well as in both Objective-C- and Swift-based iOS apps. We also discussed how to fix a common model-loading error in iOS by finding out the missing TensorFlow op or kernel file, adding it, and rebuilding the TensorFlow iOS library.

ASR is for converting speech to text. In the next chapter, we'll explore another model that has text as the output, and the text there will be full, natural-language sentences instead of the simple commands in this chapter. We'll cover how to build a model to convert an image, our old friend, to text, and how to use the model...