13.11.2020
Friday, 10:00
Forschungszentrum Jülich
13.11.2020
Friday, 10:00
Forschungszentrum Jülich
Courses
The course aims to teach you the basic knowledge of hyperparamter optimization such that an appropriate set of numerical parameters for a learning algorithm can be found. The acquired knowledge is deepened in a two-hour practical session using Jupyter Notebooks.
CONTENT
Part I: Theory
Part II: Practical exercises "Hyperparameter optimization for the improvement of neural networks"
Trainers:
Dr Alexander Rüttgers and Dr Charlotte Debus, DLR (Cologne)
Requirements:
Registration:
The course is designed for 50 students. There are no course fees, but you will have to cover the travel expenses yourself.
Please register at hds-lee@fz-juelich.de by October 16, 2020.