GMO-Z.com RUNSYSTEM participated in the in-depth seminar on “Machine Learning” at Hanoi AI Week 2019

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04-05-2019

On the evening of April 3, 2019, at the 3rd-floor hall of the BK Holdings building (Hanoi), a specialized seminar "Machine Learning Techniques in Computer Vision" took place within the framework of Hanoi AI Week 2019, attracting nearly 100 participants, including university students and AI enthusiasts. At this event, Mr. Dao Bao Linh – AI Team Leader – presented the topic “Deep Convolutional Generative Adversarial Networks” and received great attention from the young audience.

Participating as a speaker, Mr. Dao Bao Linh – AI Team Leader of GMO-Z.com RUNSYSTEM – led the discussion on “Deep Convolutional Generative Adversarial Networks” (DCGAN). As one of the hottest topics in Deep Learning in recent years, the discussion session was very lively, with many questions raised regarding various aspects of DCGAN.

Mr. Dao Bao Linh shares professional knowledge and practical insights on DCGAN
Mr. Dao Bao Linh shares professional knowledge and practical insights on DCGAN
Full view of the specialized seminar at Hanoi AI Week 2019Full view of the 'Machine Learning' specialized seminar at Hanoi AI Week 2019
Discussion session at the Machine Learning seminar during Hanoi AI Week 2019
Some images from the discussion session 

With highly professional and practical insights, the event provided a valuable opportunity for engineers, researchers, and members of the AI community in Vietnam to develop and share skills and experience. Through numerous issues and questions discussed, the solutions being applied and implemented by technology talents will surely help the AI ecosystem in Vietnam achieve even greater advancements.

The specialized discussion “Machine Learning Techniques in Computer Vision” within Hanoi AI Week 2019 was a thematic session for AI engineers and researchers, sharing knowledge and practical lessons related to Machine Learning. The activity included three short discussion sessions with contributions from experts in the field of Computer Vision.  

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