As the Head of MLT, a non-profit group of Machine Learning Engineers and Researchers and a community of 2000 people in Tokyo, Suzana has been leading efforts in creating an open and collaborative engineering space for studying, teaching and working on Artificial Intelligence projects with Deep Learning at its core.
This workshop delivers a set of technical key principles when structuring Deep Learning projects based on the complexity of data, task and algorithm. We will look at training models in different scenarios and how simple code examples translate to real-world applications. The workshop is designed for both, an engineering and non-engineering audience, giving insights on how to spot opportunities in AI by understanding the potential and the limitations of Deep Learning.
1-5-1 Marunouchi, Chiyoda-ku, Tokyo
Shin-Marunouchi Building, Room 902
April 22, 2019 at 09:00AM - 10:50AM