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.
Courses
Number
Title
Hours
Lecturers
227-0085-07 P
Projekte & Seminare: Deep Learning for Smartphone Apps (DLSA)
Groups are selected in myStudies. Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account): https://psapp.ee.ethz.ch/ Bitte beachten Sie, dass die Seite jeweils erst zwei Wochen vor Semesterbeginn zugänglich ist und im Verlauf des Semesters wieder abgeschaltet wird. Die Einschreibung ist nur von Freitag vor Semesterbeginn bis zum ersten Freitagmittag im Semester möglich.
To access the offer and to enroll for courses log in (with your n.ethz account): https://psapp.ee.ethz.ch/ Please note that the P&S-site is accessible no earlier than two weeks before the start of the semester until four weeks after the start of the semester. Enrollment is only possible from Friday before the start of the semester until noon of the first Friday in the semester.
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.
Learning 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.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
: Special students and auditors need a special permission from the lecturers