Tokyo Machine Learning Kitchen

Make Every Day Machine Learning Fun

Follow me on GitHub

April 5, 2017, 19:00

ML Kitchen the Sequel

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.

Also, since this is Cookpad, there will be awesome food and drinks!

Schedule:

  • 19:15 - Doors Open, networking
  • 19:30 - Drinks, food
  • 20:00 - “Current methods and models for visual prediction.” by Evan C.
  • 20:30 - Break
  • 21:00 - “Real time data pipeline for anomaly detection” by Mathieu Dumoulin
  • 21:30 - “Why and how does deep learning work well? From some theoretical point of view.” by Yohei Kikuta
  • 22:00 - Close

Meeting archive: