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Intelligent Mobile Projects with TensorFlow

You're reading from  Intelligent Mobile Projects with TensorFlow

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Pages 404 pages
Edition 1st Edition
Languages
Author (1):
Jeff Tang Jeff Tang
Profile icon Jeff Tang
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with Mobile TensorFlow 2. Classifying Images with Transfer Learning 3. Detecting Objects and Their Locations 4. Transforming Pictures with Amazing Art Styles 5. Understanding Simple Speech Commands 6. Describing Images in Natural Language 7. Recognizing Drawing with CNN and LSTM 8. Predicting Stock Price with RNN 9. Generating and Enhancing Images with GAN 10. Building an AlphaZero-like Mobile Game App 11. Using TensorFlow Lite and Core ML on Mobile 12. Developing TensorFlow Apps on Raspberry Pi 13. Other Books You May Enjoy

Running sample TensorFlow Android apps

There are four sample TensorFlow Android apps named TF Classify, TF Detect, TF Speech, and TF Stylize, located in tensorflow/examples/android. The easiest way to run these samples is to just open the project in the preceding folder using Android Studio, as shown in the Setting up Android Studio section, then make a single change by editing the project's build.gradle file and changing def nativeBuildSystem = 'bazel' to def nativeBuildSystem = 'none'.

Now connect an Android device to your computer and build, install and run the app by selecting Android Studio's Run | Run 'android'. This will install four Android apps with the names TF Classify, TF Detect, TF Speech, and TF Stylize on your device. TF Classify is just like the iOS camera app, using the TensorFlow Inception v1 model to do real-time object classification with the device camera. TF Detect uses a different model, called Single Shot Multibox Detector (SSD) with MobileNet, a new set of deep learning models Google released that are targeted in particular to mobile and embedded devices, to perform object detection, drawing rectangles on detected objects. TF Speech uses another different deep learning (speech recognition) model to listen and recognize a small set of words such as Yes, No, Left, Right, Stop and Go. TF Stylize uses yet another model to change the style of the images the camera sees. For more detailed information on these apps, you can check out the TensorFlow Android example documentation at https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android.

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Intelligent Mobile Projects with TensorFlow
Published in: May 2018 Publisher: Packt ISBN-13: 9781788834544
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