Implementing ANNs with TensorFlow

8.3304

Dozenten

Beschreibung

Prerequisites: Machine Learning or Concepts and Applications of neural Networks and advanced knowledge in python.

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 two consecutive sessions every week. In the first block, there will be a theoretical introduction and in the second, you are invited to work on a fun weekly task.
At the end of the course, you should be able to design different kinds of 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: Mo. 14:00 - 16:00 (14x), 93/E06: Mo. 16:00 - 18:00 (14x), 93/E31: Di. 08:00 - 10:00 (6x), 35/E01: Montag, 18.12.2017 14:00 - 18:00
Zeiten: Mo. 14:00 - 16:00 (wöchentlich), Ort: 32/110, Mo. 16:00 - 18:00 (wöchentlich) - Übung, Ort: 93/E06, Di. 08:00 - 10:00 (zweiwöchentlich, ab 14.11.2017), Ort: 93/E31, Termine am Montag, 18.12.2017 14:00 - 18:00, Ort: 35/E01
Erster Termin: Montag, 23.10.2017 14:00 - 16:00, Ort: 32/110
Veranstaltungsart: Vorlesung und Seminar (Offizielle Lehrveranstaltungen)

Studienbereiche

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