FB6 Mathematik/Informatik/Physik

Institut für Informatik


Navigation und Suche der Universität Osnabrück


Hauptinhalt

Topinformationen

Implementing ANNs with TensorFlow

8.3304

Dozenten

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.

Weitere Angaben

Ort: 32/110: Di. 16:00 - 18:00 (14x), 35/E01: Mi. 12:00 - 14:00 (14x), 35/E16: Fr. 14:00 - 16:00 (14x)
Zeiten: Di. 16:00 - 18:00 (wöchentlich), Ort: 32/110, Mi. 12:00 - 14:00 (wöchentlich), Ort: 35/E01, Fr. 14:00 - 16:00 (wöchentlich), Ort: 35/E16, Termine am Donnerstag, 16.04.2020 16:00 - 18:00
Erster Termin: Dienstag, 29.10.2019 16:00 - 18:00, Ort: 32/110
Veranstaltungsart: Vorlesung und Seminar (Offizielle Lehrveranstaltungen)

Studienbereiche

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