Deep Learning for Self Driving

  • Yoni Dukler (University of California, Los Angeles)
Live Stream


In this talk, I will give an overview of the current state and common methodologies of self driving technologies. Due to the advancements in hardware, and the wealth of data being collected by such systems, deep learning algorithms are emerging to be crucial and I will survey the common uses of deep learning for self driving. Lastly as a theoretician, I will go over avenues and challenges in self driving systems that can benefit from improved theoretical understanding and deep learning theory. The purpose of this talk is to introduce deep learning researchers to the field and present some of the most pressing issues faced by self driving practitioners in the hopes of advancing the field as a whole.

08.05.20 22.05.20

Math Machine Learning Group Seminar

MPI for Mathematics in the Sciences Live Stream

Katharina Matschke

MPI for Mathematics in the Sciences Contact via Mail