The training webinar covers theoretical and practical principles of creating Neural networks in MATLAB, and running training process on supercomputers, including running on GPU and running on parallel processors. Also, at the beginning of the seminar, some questions related to sending MATLAB tasks to HPC will be covered. Some general information about the ability to run MATLAB functions on a multiprocessor environment will be provided.
This webinar is created in collaboration with CoE RAISE and RTU HPC Center.
Lecturer – Dr.Sc.Ing. Maris Tērauds.
Duration – 2h.
LEARNING OBJECTIVES:
The participants will learn how to:
-
- Send computational MATLAB tasks to HPC;
- Create Neural networks with MATLAB;
- Using neural networks to classify images;
- Train Neural network on GPU.
This course is provided by EuroCC-Latvia in collaboration with CoE RAISE and RTU HPC Center.
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, United Kingdom, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Switzerland, Turkey, Republic of North Macedonia, Iceland, Montenegro.