Fakultät Informatik

Introduction to Deep Learning

 Introduction to Deep Learning

Time, Place

Monday, 14:00-16:00,  IHS 1
Thursday, 8:00-10:00,  IHS 1
For details please take a look HERE

Begin:

April 9., 2018

Prerequisites

Passion for mathematics and the use of machine learning in order to solve complex computer vision problems. The course will be focused on practical projects, therefore, previous knowledge of a programming language, preferably Python, is desired

 

News

Bachelor and Master thesis in the following areas:
- A remote rendering system for point cloud data (in collaboration with industry)

- Deep learning for improved weather forecasting

- Learning trajectory clustering using neural network
s
- Learning Level-of-Detail representations for point clouds


- In collaboration with partners from industry, we have a number of thesis topics available in the area of point-based rendering, geo-localization using public data, scene fusion from different viewpoints. If you are interested, please contact  westermann(at)tum.de

 

- One PhD position on   Turbulence Visualization is available at the Computer Graphics & Visualization group.