TensorFlow for Android Quickstart

Welcome to the quickstart guide for TensorFlow on Android! This guide will help you get started with using TensorFlow on your Android device.

Prerequisites

  • Android Studio installed
  • An Android device or emulator
  • Basic knowledge of Java or Kotlin programming

Getting Started

  1. Install TensorFlow for Android

  2. Prepare Your Dataset

    • Prepare your dataset for training and inference.
    • Ensure your dataset is compatible with TensorFlow for Android.

  3. Create a Model

    • Design your model using TensorFlow's Keras API.
    • Compile the model with appropriate loss function and optimizer.

  4. Train the Model

    • Train the model using the prepared dataset.
    • Save the trained model to disk.

  5. Use the Model for Inference

    • Load the trained model into your Android application.
    • Use the model to perform inference on new data.

Example

Here is a simple example of how to load a pre-trained model and use it for inference:

import org.tensorflow.lite.Interpreter;

public class MainActivity extends AppCompatActivity {
    private Interpreter interpreter;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);

        try {
            // Load the pre-trained model
            interpreter = new Interpreter(loadModelFile(this));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    private MappedByteBuffer loadModelFile(Activity activity) throws IOException {
        AssetFileDescriptor fileDescriptor = activity.getAssets().openFd("model.tflite");
        FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());
        FileChannel fileChannel = inputStream.getChannel();
        long startOffset = fileDescriptor.getStartOffset();
        long declaredLength = fileDescriptor.getDeclaredLength();
        return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
    }
}

Resources

For more information and advanced tutorials, please visit our documentation page.

TensorFlow for Android is a powerful tool for building mobile and embedded applications. We hope this quickstart guide helps you get started on your journey. If you have any questions or feedback, please reach out to us!

TensorFlow Logo