{"id":1040,"date":"2018-10-01T06:54:03","date_gmt":"2018-10-01T08:54:03","guid":{"rendered":"http:\/\/www.kaunokolegija.lt\/en\/?p=1040"},"modified":"2018-10-01T07:09:13","modified_gmt":"2018-10-01T09:09:13","slug":"computer-vision-expert-georgios-ouzounis-usa-delivers-lectures-at-kauno-kolegija","status":"publish","type":"post","link":"https:\/\/www.kaunokolegija.lt\/en\/computer-vision-expert-georgios-ouzounis-usa-delivers-lectures-at-kauno-kolegija\/","title":{"rendered":"Computer vision expert Georgios Ouzounis (USA) delivers lectures at Kauno kolegija"},"content":{"rendered":"
Currently Faculty of Technologies is hosting Dr. Georgios Ouzounis<\/a>. Georgios is a computer vision\/machine learning engineer specializing in advanced, high performance image\/video\/data analytics, processing and feature extraction algorithms, cloud processing and distributed systems. Fields of his expertise include artificial, convolutional and recurrent neural networks for 2D\/3D deep learning, self-organizing maps and auto-encoders. He has doctorate degree in mathematics and natural sciences. Georgios works as senior computer vision engineer at Arlo Technologies, Inc., in New York (USA).<\/p>\n Georgios Ouzounis was invited to deliver the 5-day intensive course Crash Course in Deep Learning<\/em> in the period from September 26 to October 2, 2018. The aim of this course is to familiarize students with notions and concepts from the fields of data science and machine- & deep-learning, and to showcase how to build, train and deploy artificial neural networks and other advanced derivative architectures for solving a wide range of real-world challenges. The skill-sets developed upon completion of the course would allow attendants to engage directly in data-analytics problem solving and enrich their curriculum with a \u2018must-have\u2019 for the global job market.<\/p>\n The course attendees are the students who study Infotronics, Information Finance Systems, Automatic Control and Administration of Computer Networks.<\/p>\n Deep-Learning is a thriving, state-of-the-art field of data analytics that shapes developments in almost every field of the modern global economy. It is the driving technology in data science and artificial intelligence and has a very broad field of applications. Indicatively, the Deep-Learning market was worth USD 2.28 Billion in 2017 and is expected to reach USD 18.16 Billion by 2023, at a CAGR of 41.7% from 2018 to 2023.<\/p>\n