Uncertainty in deep learning by Olof Mogren

Our world is full of uncertainties: measurement errors, modeling errors, or uncertainty due to test-data being out-of-distribution are some examples. Machine learning systems are increasingly being used in crucial applications such as medical decision making and autonomous vehicle control: in these applications, mistakes due to uncertainties can be life threatening.

This weeks Learning Machine Seminar with Olof Mogren will focus on "Uncertainty in Deep Learning"

In this talk, we will connect deep learning with Bayesian machine learning, and go through some example approaches to coping with, and leveraging, the uncertainty in data and in modelling, to produce better AI systems in real world scenarios.

Learning Machines Seminars gathers experts in AI for an open weekly seminar! Seminars include presentations on a current topic on machine learning. https://www.ri.se/en/education/learning-machines-seminars

Видео Uncertainty in deep learning by Olof Mogren канала RISE Research Institutes of Sweden