Deep Learning Lab

This a place for students to carry out practical Deep Learning exercises in a modern and comfortable learning environment.

Copyright: Florian Stix

The modern equipment allows students to train neural networks – also referred to as Deep Learning networks – and familiarise themselves with these modern approaches in a hands-on manner. In addition to CPUs, there are also enough GPUs available for the creation of AI models. If still greater resources are needed, there is the possibility to access our extended Deep Learning hardware whose first expansion stage includes:

• 8 GeForce GTX 1080 Ti GPUs,
• 40 CPU cores,
• 128 GB RAM
• and support for frequently used Deep Learning frameworks such as TensorFlow and Caffe2, torch and theano

These hardware components are used in class to process real datasets. However, the infrastructure can also be used for projects.

Examples from Study Practice

Go to projects of the study programme Data Science and Business Analytics 

Where can I find the lab on campus?

📍 Deep Learning Lab: A.2.04 – Download Navigation Guide (PDF)