Tagged with: Deep Learning


PROPOSAL

Deep neural networks have been revolutionary in computer vision and publicly available image datasets played an important role in this success. Due to their size, neural networks require vast amounts of data for training. Yet when it comes to medical settings dataset sizes are very limited due to the cost of data annotation, privacy concerns, differences in imaging techniques, and others. In such …
Supervisors: Dovile Juodelyte
Semester: Spring 2022
Tags: transfer learning, deep learning, medical imaging

PROPOSAL

The goal of the project is to explore the accuracy of electricity production predictions based on historical data and weather predictions. This may be tackled as a sequence prediction problem using recurrent neural networks The long term goal is to incorporate wind turbines in the reserve market for electricity.
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Forecasting, Machine Learning, Deep Learning

PROJECT

Investigating the behavior of acoustic model training via deep learning on co-processors of different price groups
Students: Sebastian Baunsgaard & Sebastian Benjamin Wrede
Supervisors: Pınar Tözün
Level: MSc, Semesters: Fall 2019
Tags: Automatic Speech Recognition, GPUs, Deep Learning

PROJECT

How do we implement and efficiently train a centralized deep learning system converting speech to text in a scalable manner?
Students: Sebastian Baunsgaard & Sebastian Benjamin Wrede
Supervisors: Pınar Tözün
Level: MSc, Semesters: Spring 2019
Tags: Automatic Speech Recognition, Deep Learning, Scalable