So you would like to try to use generative deep learning models for a small side project? Or maybe you only want to have a better understanding of the latent spaces inside a deep neural net, gain an insight on random sampling inside an NN or learn about the mysterious reparametrization trick? In any case, […]
This presentation will give a brief introduction to contextflow, a leading AI in radiology company based in Vienna, before moving on to discussing self-supervised learning for computer vision. The concept behind self-supervised learning will be explained and it will be taken a look at the setup of current state-of-the-art methods, e.g. SimCLR, MoCo, and SwAV. […]
Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by Deep Learning Graz. Please complete your registration on the signup form here. After the event we will provide a limited course promo code for attendees who sign up through the form and complete a post-event survey […]
Many real-life problems, including Automated Driving, can be formulated as sequential decisionmaking and control tasks. Solving these tasks is a major topic of Control Theory, Artificial Intelligence and Robotics, with complementary methods roughly grouped as Control, Planning and Learning. Planning relies on deliberative reasoning about the current state and sequence of future reachable states to […]
In this talk, Halil Beglerovic will talk about the applications of convolutional neural networks in the domains of– Scenario extraction from recorded data– Object detection– Semantic segmentationand Behavioral cloning. Language: English About Halil Beglerovic: Halil Beglerovic finished his bachelor studies at the University of Sarajevo, Faculty of Electrical Engineering, Department for Automatic Control and Electronics. […]
So you want to control a car or a robot using deep learning? Gregor Gregorcic shows in this introductory session what the foundations of neural networks are and provides codesamples. At the end of this session, you will have a clear understanding about the inner workings of a neural network. This is a preview to […]
2018 stand die künstlerische Tätigkeit von mur.at ganz im Zeichen von Machine Learning. Die Ergebnisse daraus wurden in der Akademie Graz präsentiert. Das Team rund um Reni Hofmüller und Jogi Hofmüller gibt beim Meetup einen Einblick in die Arbeit und die Ergebnisse von sensu lato.