This Bootcamp will be provided as an ONLINE course.
During this two-day online Bootcamp, participants will learn how to apply AI tools, techniques and algorithms to real-life problems. You will study the core concepts of Deep Neural Networks, how to build Deep Learning models as well as how to measure and improve the accuracy of your models. You will also learn essential data pre-processing techniques to ensure a robust Machine Learning pipeline. This online Bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.
Day 1 (Intro) February 1, 2022: 09:00am - 12:00pm CET
09:00 - 09:15 Welcome (Moderator)
09:15 - 09:30 Connecting to a cluster
09:30 - 10:00 Introduction to GPU computing (Lecture)
10:00 - 11:00 Introduction to AI (Lecture)
11:00 - 12:00 CNN Primer and Keras 101 (Lecture and Lab)
Day 2 (Advanced) February 2, 2022: 09:00am - 12:30pm CET
09:00 - 10:30 Tropical cycle detection (Lab + Challenge)
10:30 - 10:45 Break
10:45 - 12:15 Steady Flow Estimation (Challenge)
12:15 - 12:30 Wrap up and Q&A
Basic experience with Python. No GPU programming or AI knowledge is required.
Attendees will be given access to a GPU cluster for the duration of the Bootcamp.
The course language is English.
PD Dr. Juan Durillo Barrionuevo, Dr. Elham Shojaei, Maja Piskac (LRZ)
Dr. Tobias Haas, Dr. Khatuna Kakhiani, Dr. Lorenzo Zanon (HLRS)
Dr. Alexandre Strube, Jan Ebert (JSC)
The course is open and free of charge for participants from academia and industry.
Please register here with your institutional e-mail address to prove your affiliation.
The final participants will be selected and informed after the registration deadline has passed.
for registration is January 19, 2022 at 23:55.
This course is free of charge.
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.
HLRS is also member of the Baden-Württemberg initiative bwHPC-C5.
This course is provided within the framework of the bwHPC-C5 user Support.
This course is not part of the PATC curriculum and is not sponsored by the PATC program.