| Beschreibung |
Information on the web is growing at an exponential pace, courtesy of social media platforms, blogs, and news.
Such large scale data sources call for high-end, scalable, distributed architectures for cognitive analysis, which shape the business decisions of many industries. In addition, deep learning has been propelled into mainstream and is now accessible to researchers and companies alike, thanks to tools such as TensorFlow, PyTorch. The Webis research group operates large-scale high-performance compute infrastructure (totaling more than 3000 CPU cores, 10+ Petabytes of storage, and 24 high-end GPUs), which will be put to use in the course of this seminar. Students will receive application-oriented training in Big data and deep learning frameworks, solve tasks, and explore interesting research questions. |
