Course details


Implementing ANNs with TensorFlow

WS 2019 Prof. Dr. Gordon Pipa
B.Sc modules:
CS-BWP-NI - Neuroinformatics
KOGW-WPM-NI - Neuroinformatics
M.Sc modules:
CC-MWP-NI - Neuroinformatics
CS-MWP-NI - Neuroinformatics
KOGW-MWPM-NIR - Major subject Neuroinformatics and Robotics
Wed: 10-12
Tue: 14-16

Prerequisites: Basic understanding of easy linear algebra concepts + experience with Python, NumPy and Jupyter Notebook. Important: There will be an extra session (probably Tuesday 16.15-17.45), which won't take place regularly. Come to the introduction session for more info. 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.