ML Kitchen: Instance Segmentation and Kaggle edition

Whether you're working on machine learning during the day or in your free time, take this opportunity to meet other researchers and engineers. Good chance to converge, add some noise to your neurons, network with your peers, get some knowledge transfer and go deeper into machine learning topics with interesting talks.

## スケジュール
## Schedule

• 19:00 Doors open
• 19:20 Welcome and introduction by Leszek
• Keynote talk: "Mask-RCNN for Instance Segmentation" by Dat Nguyen
• 19:50 --BREAK for FOOD and DRINKs--
• Lightning talks:
• "Kaggle as A Practical Study Material for ML" by Lain Matsuoka
• "My first medal of Kaggle" by Ryusuke Chiba (@metalunk)
• 21:00 --Networking time!--
• 22:00 --CLOSING TIME--