Deep Learning for Computer Vision

Date: Tuesday, 27 February 2018
Time: 5.00pm - 6.30pm
Location: Innovation & Collaboration Centre - Level 4, Catherine Helen Spence Building, UniSA City West Campus
Cost: Free

What is it? 

Recent developments in self-driving vehicles indicate that deep learning for computer vision is making giant advances but how do we train machines to see? The Innovation & Collaboration Centre has partned with D2D CRC to bring you a Tech Talk on Deep Learning for Computer Vision, which includes presentations from three expert speakers followed by an interactive panel session.

Commencing with a brief, but intensive, overview of the background and latest research in deep learning for computer vision, the seminar will review a number of different techniques, how they have been applied and the challenges involved.  We will also be hearing a case study example of how deep learning is being applied to developing autonomous vehicles here in Adelaide.  

Who's it for?

Everyone interested in understanding deep learning in relation to computer vision and how machines can be trained to identify, analyse and utilise information from images.    

Our presenters:

Dr Jason Scholz, Research Leader, Trusted Autonomous Systems, Defence Science and Technology Group
Mr Adrian Johnston, PhD Candidate, University of Adelaide
Mr Hayden Faulkner, PhD Candidate, University of Adelaide

Register now!

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