Sep 09, 2021
Living Lab Lecture SeriesLiving Lab No. 3: Hyperparameter optimization with Omniopt
Speaker(s)
Peter Winkler und Norman Koch
(ScaDS.AI - Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig)
(ScaDS.AI - Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig)
Start and end time
11:00 AM
-
12:00 PM
Location
Online-Lecture
On 9th September 2021 at 11:00 am the third part of the Living Lab Lecture Series will take place. Peter Winkler and Norman Koch will talk about “Hyperparameter Optimization with Omniopt”.
What is Omniopt?
- A tool for hyperparameter optimization when you work with neural networks and Big Data.
- Omniopt is applicable to a broad class of problems (both classical simulations and neural networks).
- Omniopt is robust. It checks and installs all dependencies automatically and fixes many problems in the background without the user even noticing that they have occurred.
- While Omniopt optimizes, no further intervention is required. You can follow the ongoing stdout (standard output) live in the console.
- Omniopt’s overhead is minimal and virtually imperceptible.
Lecture language: English
For joining this lecture please click here: Living Lab Lecture #3