tmbdev.github.io

Thomas Breuel

I’m a researcher at NVIDIA, working on petascale deep learning, self-supervised training, text recognition, causality and sequence modeling, and the connection between statistics and deep learnining.

Prior to NVIDIA, I worked at Google Brain, Xerox PARC, and IBM Research. I was a tenured professor of computer science at the University of Kaiserslautern, heading a large research group working on image understanding and machine learning. Among others, my group developed cancer detection, OCR and text recognition, and image segmentation techniques based on deep learning techniques in the 2000s.

This is just a quick collection of links of resources that people might find useful or that I have mentioned during talks. Please see LinkedIn for more (and more up-to-date) professional information.

Recent Tutorials

ICDAR 2019 Tutorial on Deep Learning for Document Analysis
BigData 2019 Tutorial on Large Scale Learning with GPUs
Deep Learning 2018 Tutorial on Deep Learning and its Connections with Statistics and Pattern Recognition

(More in recent years.)

Main Current Github Projects

WebDataset and WIDS at webdataset.org

Courses

These are mostly iPython Notebooks. You can view them more conveniently with the Notebook Viewer:

Gists

You can find my GISTs here.