Vorlesung Introduction to Neural Networks and Genetic Algorithms
Semester: | Summer Term 2021 |
Lecturer: | Prof. Dr. Andreas Geyer-Schulz; |
Appointment: | Dienstag 16:00 - 17:30 |
Location: | |
SWS: | 2 |
Participate
Content
Details about the lecture and tutorial:
- The lectures are recorded on video and made available on ILIAS.
- The tutorials are held as live sessions via Zoom. The live sessions will be announced here and on ILIAS.
- All lecture and tutorial material, as well as the latest annoucements, can be found on ILIAS. Further literature is references on this website.
Link to the corresponding ILIAS course: Introduction to Neural Networks and Genetic Algorithms
Course Description
Die Lehrveranstaltung besteht aus einer kurzen Einleitung und zwei Teilen:- In der Einleitung werden die biologischen Mechanismen von neuronalen und genetischen Verfahren vorgestellt. Außerdem wird ein gemeinsamer Rahmen für die Evaluation des Lernerfolges der Verfahren in Anwendungen eingeführt.
- Im Bereich der neuronalen Verfahren werden die Basisalgorithmen (z.B. Backpropagation) und ihre Anwendungen im Data Science vorgestellt.
- Im Bereich der genetischen Verfahren werden einfache genetische Algorithmen und ihre Varianten vorgestellt und angewendet.
Course dates
Time | Content |
---|---|
04/27/2021, 16:00 - 17:30 | Online Live Session (Link: https://kit-lecture.zoom.us/j/69577849780) |
06/08/2021, 16:00 - 17:30 | Online Live Session (Link: https://kit-lecture.zoom.us/j/64321716341) |
07/06/2021, 16:00 - 17:30 | Online Live Session (Link: https://kit-lecture.zoom.us/j/61950905157) |
07/20/2021, 16:00 - 17:30 | Online Live Session (Link: https://kit-lecture.zoom.us/j/69361737540) |
Course material
Content | Author |
---|---|
Introduction to Neural Networks and Genetic Algorithms. Learning in Nature | Geyer-Schulz, Andreas |
Foundations of Simple Genetic Algorithms | Geyer-Schulz, Andreas |
Worksheet Exercise 1 (With Materials) | Geyer-Schulz, Andreas |
The Genetic Algorithm as Function Optimizer | Geyer-Schulz, Andreas |
Analysis of Binary Coded Genetic Algorithms | Geyer-Schulz, Andreas |
Solutions for Worksheet 1 | Geyer-Schulz, Andreas |
Variants of Genetic Algorithms | Geyer-Schulz, Andreas |
Worksheet Exercise 2 (With Data Set) | Geyer-Schulz, Andreas |
Foundations of Neural Networks | Geyer-Schulz, Andreas |
Worksheet Exercise 3 (With Data Set) | Geyer-Schulz, Andreas |
Self-Test as Preparation for Intro- duction to Neural Networks and Genetic Algorithms | Geyer-Schulz, Andreas |
Regularization. | Geyer-Schulz, Andreas |