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Intelligent Mobile Projects with TensorFlow

You're reading from   Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
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Author (1):
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Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Mobile TensorFlow FREE CHAPTER 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

Using the model in Android to play Connect 4

Not surprisingly, we don't need to use the custom Android library as we did in Chapter 7, Recognizing Drawing with CNN and LSTM, to load the model. Simply create a new Android Studio app with the name AlphaZero, copy the alphazero19.pb model file to the newly created assets folder, and add the compile 'org.tensorflow:tensorflow-android:+' line to the app's build.gradle file as we did before.

We'll first create a new class, BoardView, that extends View and is responsible for drawing the game board and the pieces AI and the user make:

public class BoardView extends View {
private Path mPathBoard, mPathAIPieces, mPathHumanPieces;
private Paint mPaint, mCanvasPaint;
private Canvas mCanvas;
private Bitmap mBitmap;
private MainActivity mActivity;

private static final float MARGINX = 20.0f;
private...
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