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 the retrained models in the sample Android app

To use our retrained Inception v3 model and MobileNet model in Android's TF Classify app is also pretty straightforward. Follow the steps here to test both retrained models:

  1. Open the sample TensorFlow Android app, located in tensorflow/examples/android, using Android Studio.
  2. Drag and drop two retrained models, quantized_stripped_dogs_retrained .pb and dog_retrained_mobilenet10_224.pb as well as the label file, dog_retrained_labels.txt to the assets folder of the android app.
  3. Open the file ClassifierActivity.java, to use the Inception v3 retrained model, and replace the following code:
private static final int INPUT_SIZE = 224; 
private static final int IMAGE_MEAN = 117; 
private static final float IMAGE_STD = 1; 
private static final String INPUT_NAME = "input"; 
private static final String OUTPUT_NAME = &quot...