Workshop on Deep Learning with Pytorch and AutoML
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
Senior Machine Learning Applied Scientist
I am a Senior 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.