Module Number ML-4420 |
Module Title Efficient Machine Learning in Hardware |
Lecture Type(s) Lecture |
---|---|---|
ECTS | 6 | |
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
Duration | 1 Semester | |
Frequency | In the summer semester | |
Language of instruction | English | |
Type of Exam | Oral Test |
|
Content | The recent breakthroughs in using deep neural networks for a large variety of |
|
Objectives | The students gain in-depth knowledge about the challenges associated with |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Bringmann | |
Literature | Will be announced in the first lecture / Knowledge about foundations in machine learning |
|
Last offered | Sommersemester 2022 | |
Planned for | Sommersemester 2024 | |
Assigned Study Areas | INFO-INFO, INFO-PRAK, INFO-TECH, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-MMT, ML-CS, ML-DIV |