This course introduces deep learning both by presenting valuable methods and by addressing specific applications. This course covers both theory and practices for deep learning. The students will also have hands-on exercises experimenting with a variety of deep learning architectures for applications.
Students must have knowledge about:
As descript in §17
Name of exam | Deep Learning |
Type of exam | Written or oral exam |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Danish title | Dyb læring |
Module code | ESNNDSK2K3 |
Module type | Course |
Duration | 1 semester |
Semester | Spring
|
ECTS | 5 |
Language of instruction | English |
Empty-place Scheme | Yes |
Location of the lecture | Campus Aalborg |
Responsible for the module |
Study Board | Study Board of Electronics and IT |
Department | Department of Electronic Systems |
Faculty | The Technical Faculty of IT and Design |