Industrial Engineering Diploma | MSc in Intelligent Information Systems | MSc in Systems Engineering and Management | worked as a teacher for 6 years | worked as ML Engineer at Fujitsu Labs (2018) | currently working as ML Engineer at LPixel (AI on Medical data) | Instructor at ML related workshops (GANs, Deep NN etc.) in Tokyo | First place at ImageCLEF caption 2017 | Fifth place at ImageCLEF caption 2018 | Research interests: Machine Learning, Computer Vision, Optimization
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.
新丸ビル, Room 902
2019年04月22日 午前09:00 - 午前10:50