Allgemeine Informationen

Veranstaltungsart

Vorlesung und Übung

Semester

WiSe 2019/20

ECTS-Punkte

8

Veranstaltungsnummer

8.3304

Details

Link zur Veranstaltung in StudIP

Dozent*innen

• Prof. Dr. Gordon Pipa

Tutor*innen

• Luke Effenberger, M. Sc.
• Anna Jungeilges
• Leon Schmid
• Sahar Niknam

Beschreibung

Prerequisites: Basic understanding linear algebra, calculus and coding in Python & NumPy.

In this seminar, we will learn how to use the deep learning software library "TensorFlow" which is ideally suited and mostly used for the implementation of Artificial Neural Networks (ANNs).
The seminar consists of three sessions every week: lecture, homework tutorial, open homework Q&A session.
At the end of the course, you should be able to implement ANNs on a theoretical basis to solve real-world problems and you should be able to implement and train the ANN with the help of TensorFlow.

Studienbereiche

• Cognitive Science > Bachelor-Programm
• Cognitive Science > Master-Programm
• Schnupper Uni > Cognitive Science

Modulzuordnungen der Veranstaltung

• Bachelor of Science Informatik > CS-BWP-NI - Neuroinformatik gültig ab WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-NI - Neuroinformatik gültig ab WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-NI - Neuroinformatik gültig ab WiSe 2019/20
• Master of Science Mathematik > CS-BWP-NI - Neuroinformatik gültig ab WiSe 2019/20