Description
Summary
Participants will learn the basics of GPU computing and AI concepts, particularly as it relates to applying Deep Learning (DL) for scientific problems.
DL terminology and concepts will be instructed, and participants will start by creating their first “Hello World’ DL network. Concepts of AI for Science will be discussed to draw a distinction between how scientific AI deployments differ from traditional AI. We’ll then explore Convolutional Neural Networks and apply them to a Tropical Cyclone Detection case where you will learn the impact of modifying hyperparameters, network layers, and data augmentation to improve your model. Finally, we’ll explore how more complicated networks (U-Nets) work and you’ll gain experience applying them to a steady flow example problem.
This event will take place on Zoom. Click here to register.
29th Nov 2021
- Welcome (Moderator): 11:30 AM - 11:45 AM
- Connecting to a Cluster: 11:45 AM - 12:00 PM
- Introduction to GPU Computing: 12:00 PM - 12:30 PM (Lecture)
- Introduction to AI: 12:30 PM - 1:00 PM (Lecture)
- Break 1:00 PM - 1:15 PM
- CNN Primer and Keras 101: 1:15 PM - 2:15 PM (Lecture + Lab)
- Q&A: 2:15 PM - 2:30 PM
30th Nov 2021
- AI for Tropical Cyclone Detection : 11:30 AM - 1:00 PM (Lecture and Lab)
- Mini Application Challenge : 1:00 PM - 2:00 PM ( Lab)
- Introduction to Physics Informed Neural Network : 2:00 PM - 2:30 PM ( Lecture)
Prerequisites
- Basic experience with Python. No GPU programming or AI knowledge is required.
- Presented by NCI Australia, the bootcamp is open to all current and prospective NCI users.
- This event has limited capacity, so please make sure that prerequisites are met before applying. You will be receiving an acceptance email with details on how to participate by 24th Nov 2021.
