TensorFlow mobile Android apps are available on GitHub at the following address: https://github.com/TensorFlow/TensorFlow/tree/master/TensorFlow/examples/android . In October 2017, the page contained the following examples:

• TF Classify: Uses the Google Inception model to classify camera frames in real time, displaying the top results in an overlay on the camera image.
• TF Detect: Demonstrates an SSD-Mobilenet model trained using the TensorFlow Object Detection API. This was introduced in speed/accuracy trade-offs for modern convolutional object detectors to localize and track objects (from 80 categories) in the camera preview in real time.
• TF Stylize: Uses a model based on A Learned Representation For Artistic Style to restyle the camera preview image to that of a number of different art styles.
• TF Speech: Runs a simple speech recognition model built in the audio training tutorial. Listens for a small set of words, and highlights them in the UI when they are recognized.