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Projects & Seminars: Deep Learning for Smartphone Apps (DLSA)
Projekte & Seminare: Deep Learning for Smartphone Apps (DLSA)
Last Updated: 2026-02-05 16:07:22
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.
General Information
- Language
- English
- Levels
- BSC
- Frequency
- Semesterly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Signup Start
- 18.02.2022
- Signup End
- 04.03.2022
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| practical/laboratory course |
Projekte & Seminare: Deep Learning for Smartphone Apps (DLSA)
Does not take place this semester.
Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account):
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):
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.
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No time listed | 3 h weekly |
Offered In
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Laboratory Courses, Projects, Seminars (A minimum of 15 cp (under the 2018 regulations), respectively at least 18 cp (under the 2016 regulations) must be achieved in the category "Laboratory Courses, Projects, Seminars".)
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Projects & Seminars (Enrolment is only possible for students in the BSc Electrical Engineering and Information Technology from Friday before the start of the semester. Places are allocated using the P&S application tool ( ). Please only enrol for P&S for which you apply via the tool.)
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