263-3210-00L
Deep Learning
| Semester | Autumn Semester 2024 |
| Lecturers | T. Hofmann |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Performance assessment information (valid until the course unit is held again) |
Performance assessment as a semester course |
| ECTS credits | 8 credits |
| Examiners | T. Hofmann |
| Type | session examination |
| Language of examination | English |
| Repetition | The performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling. |
| Mode of examination | written 120 minutes |
| Additional information on mode of examination | There is a mandatory project (40 hours).
Grade = 0.7 exam + 0.3 project |
| Written aids | limited aids (4 x A4 pages of notes) |
| Digital exam | The exam takes place on devices provided by ETH Zurich. |
| Distance examination | It is not possible to take a distance examination. |
| This information can be updated until the beginning of the semester; information on the examination timetable is binding. |
