227-0085-07L Projects & Seminars: Deep Learning for Smartphone Apps (DLSA)
|Semester||Spring Semester 2021|
|Lecturers||L. Van Gool|
|Periodicity||every semester recurring course|
|Course||Does not take place this semester.|
|Language of instruction||English|
|Comment||Only for Electrical Engineering and Information Technology BSc.|
The course unit can only be taken once. Repeated enrollment in a later semester is not creditable.
|Abstract||The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.|
|Objective||Deep Learning with Smartphone Sensors – Programming Android Phones – Neural Networks – Keras/TensorFlow -- Projects on Smartphones.|
Latest smartphone generations are equipped with computational capabilities (CPU, GPU, NPU, DSP) matching common PCs from a decade ago. Moreover, smartphones have several sensors that can acquire many useful information beyond audio and visual data, for instance where we are, what we are doing, with whom we are together, what is our body constitution, what are our needs. Based on this information our smartphone offers us the appropriate computational power to process them in loco without sending the sensor data to the cloud. This course focuses on giving the bases of machine (deep) learning and embedded systems. Students will learn the tools to implement machine/deep learning algorithms in their Android phones to be smarter. The course will end with a 4 weeks project where the students can target a specific application scenario.
The course will be taught in English.