Deep learning in document analysis
At the 17:15 Colloquium on 25 March 2021, Prof. Thilo Stadelmann will give an introduction to the topic and present current research results. Be there and join the discussion!
Artificial neural networks have achieved incredible feats in the field of deep learning over the past six years. Not only have they revived public interest in artificial intelligence, their enormous capacities have brought about a paradigm change in pattern recognition and, specifically, image recognition. Today, artificial neural networks outperform humans in many specialised applications.
Professor Thilo Stadelmann, ZHAW School of Engineering, provides a brief and accessible introduction to deep learning and presents his latest research results in the field of document analysis. Applications such as optical music recognition and newspaper layout analyses may well become commonplace in libraries and archives and simplify the indexing of multimedia holdings significantly.
The 17:15 Colloquium offers a platform for further education and discussion of topics related to libraries, museums and archives. The formula: a 30-minute lecture + a 30-minute discussion + small-group discussion = inspiration for our daily working lives.
#FocusHuman – Be inspired by people and learn something new.
#ETHLibraryDigital – The ETH Library is there for you digitally with various offers and services, not only during the COVID-19 protective measures.