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Huy Viet Le, Sven Mayer, Abdallah El Ali, Niels Henze
Machine Learning for Intelligent Mobile User Interfaces using Keras
2018-09-03 (bib)

High-level APIs such as Keras facilitate the development of deep learning models through a simple interface and enable users to train neural networks within a few lines of code. Building on top of TensorFlow, trained models can be exported and run efficiently on mobile devices. This enables a wide range of opportunities for researchers and developers. In this tutorial, we teach attendees three basic steps to run neural networks on a mobile phone: Firstly, we will teach how to develop neural network architectures and train them with Keras based on the TensorFlow backend. Secondly, we show the process to run the trained models on a mobile phone. In the final part, we demonstrate how to perform Human Activity Recognition using existing mobile device sensor datasets.