Sergey Shelpuk & Olha Romaniuk


Sergey Shelpuk
Head of Data Science Office, Eleks

Machine learning and artificial intelligence enthusiast, lecturer at Ukrainian Catholic University


Olha Romaniuk
ELEKS, Junior Data Scientist

During my work as a data scientist at ELEKS I participated in several projects related to computer vision and using Tensorflow as the main tool. I think the practical approaches we figured out while this work may be useful to everyone interested in deep learning and computer vision.

Тема доповіді: Deep learning, Tensorflow, and Fashion: how to stay in trend.

Тези доповіді:
Recently artificial intelligence and computer vision has reached new performance standards and now plays a significant role in industries seemingly far from technology, like fashion. Our data science team faced such problem – clothes classification from surveillance cameras video data. We have used deep learning that is the most advanced and successful approach to such tasks and Tensorflow – a free and open source framework for numeric computations. I would like to share some practical tips about both contemporary state-of-the-art deep neural network architectures and implementations in Tensorflow.

back to top