Module Number INFO-4210 |
Module Title Recurrent and Generative Artificial Neural Networks |
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 | Irregular | |
Language of instruction | English | |
Type of Exam | Written exam (in case of a small number of participants: oral tests) |
|
Content | Advanced ANN topics. First, revisiting backpropagation and backpropagation |
|
Objectives | Students know about and how to apply generative and typically recurrent artificial |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
2
3.0
wt
90
g
100
Tutorial
Ü
o
2
3.0
|
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Butz | |
Literature | Literatur / Literature: Voraussetzungen / Prerequisites: |
|
Last offered | Sommersemester 2022 | |
Planned for | Wintersemester 2024 | |
Assigned Study Areas | INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-VIS, ML-CS, ML-DIV |