Andrii is a post-graduate student at Kharkiv National University of Radioelectronics, starting from 2015. He has experience in the area of geographic information system development, image processing, distributed computing on GPU, data processing from three-dimensional scanning. He has been working in software development since 2002, in data science – since 2010. Andrii has over 10 years of teaching experience. He works with multiple companies solving the problems in image, video and GIS processing and computations optimization, using GPU CUDA. His sphere of interest includes: fuzzy approximation methods, deep learning, sociological data prediction.
Topic: TensorFlow Usage. Workshop.
Short Description: This report appeals to those who doesn’t have the experience using TensorFlow, but is willing to learn. It will be held in a form of a practical training, giving the audience an insight into the basic terms and ideas underlying TensorFlow, as well as allowing them to write their first programs using the tool. The attendees are required to have the basic level of Python and ML understanding. It is advisable to have a laptop at hand for the practice.