Deep Neural Networks for Computer Vision 2016

Course Description

Course aims to present basics knowledge of modern approaches which are used for solving computer vision problems: from descriptions to solutions based on deep convolution networks with hacks and practical examples.

Course tools

Python, caffe, keras

Prerequisits

basics in neural networks and computer vision

Lecturer

Dr. Oleksandr Baiev
Senior Engineer at Samsung R&D Institute Ukraine

PhD in mathematical modeling and numerical methods (V.N. Karazin Kharkiv National University) with the focus on applying neural networks for solving problems of radiation physics. Deep learning specialist at Samsung R&D Institute Ukraine (from 2014). Associate professor at Kharkiv University (till 2014), founder of SpinOffHack.

Field of interests: Deep Learning, Computer Vision, Virtual Reality

Contactsfacebook.com/baiev