Generative Adversarial Networks - Michal Šustr
Generative Adversarial Networks (GAN) is a method allowing a generation of the most believable output by means of neural networks. It has recently attracted a lot of attention, especially thanks to interesting applications and thanks to the progress in generative models. It was also one of the hot topics during the latest NIPS conference. The talk will focus mainly on the recent research in the field.
Speaker - Michal Šustr: https://www.linkedin.com/in/michalsustr/
18:15 - (19:45) Talk + discussion
20:00 - ... Networking
Facebook event: https://www.facebook.com/events/1419603894778149/
Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking allowing people to network, inspire each other and learn about exciting stuff.
At the end of the year 2016, MLMU spread also to Brno and Bratislava.