Workshop on Deep Learning with Pytorch and AutoML


Date
Feb 7, 2020 10:30 AM
Location
Hamburger Informatik Technologie-Center (HITeC), Hamburg, Germany

My second internal workshop at HITeC was about deep learning with Pytorch and AutoML. I introduced the basics of deep learning and how to implement a classification problem in Pytorch. Then, I introduced one of the latest AutoML approach called BOHB for hyperparameter optimization. At the end of the workshop, we had hands-on session for hyperparameter search for a 2-D classification problem. The content of the workshop was:

  • Deep Learning with Pytorch
  • AutoML
  • Hands-on Session
Mohammad Ali Zamani
Mohammad Ali Zamani
Machine Learning Applied Scientist

I am Machine Learning Applied Scientist at Hamburg Informatics Technology Center (HITeC) and a Research Associate at University of Hamburg. My research interests include Deep Reinforcement Learning, Computer Vision, Cognitive Robotics and Natural Language Processing.