Join the webinar with dr Marek Tatara, Head of Science at DAC.digital, to learn about methods for optimizing neural networks. The webinar is organized by DAC.digital together with Software Development Association Poland. The event will take place on February 22 at 2:00 PM and is open to all interested parties. Participation in the event is free.
About the webinar
As part of the webinar, dr Marek Tatara will discuss the issues related to the optimization of the operation of neural networks used in image processing. After identifying cases where optimization can be beneficial and where networks outperform classical image processing, he will present the approaches along with potentially attractive technologies to help with this.
Main information:
- Date: 22nd of February (Tuesday), at 2.00 PM
- Language: Polish
- Registration: https://app.evenea.pl/event/835626-130/
Agenda
The meeting will last 2 hours and the agenda is as follows:
- Introduction to image processing;
- Why neural networks for image processing?
- Popular network architectures for image processing
- Overview of the concept of network optimization
- Approaches to optimizing network performance
About the speaker
The webinar will be conducted by Dr. Marek Tatara, Head of Science at DAC.digital, Assistant Professor at Gdańsk University of Technology. In his scientific work, he deals with modeling, process diagnostics, and numerical stability issues, while his application works include, among others image processing issues (also with the use of neural networks), optimization of network operation, and implementation on edge devices. He worked at MAG IAS GmbH and Philips Lighting Poland. Currently, he works as an assistant professor at the Department of Decision Systems and Robotics at the Gdańsk University of Technology, Head of Science at DAC.digital, and an AI / ML Expert at M5 Technology. He is a member of the Polish Association for Measurements, Automation and Robotics, vice-chair of the technical committee 7.5 (intelligent autonomous vehicles) at IFAC.
