Unlock the power of neural networks in your research with our hands-on workshop on Neural Networks and PyTorch. This session is designed for researchers across diverse fields—whether you're in biology, physics, social sciences, or beyond—interested in leveraging machine learning for your work.

In this workshop, you'll gain a foundational understanding of neural networks, learn how to build models using PyTorch, one of the most popular deep learning frameworks, and explore accelerated training on GPU. No prior experience in machine learning is necessary, making this workshop ideal for beginners and those looking to expand their data analysis toolkit.

Join us to discover how neural networks can enhance your research and open new avenues of exploration in your field!

Prerequisites

Experience with Python.
Experience with bash or similar Unix shells.
An NCI account ( create an account ) with a valid password
Membership in the following projects:
1. vp91 (join) [the training project which we will use for this workshop's compute and storage
2. The training session is driven on the NCI ARE service. Attendees are encouraged to review the following page for background information: https://opus.nci.org.au/displa...

Agenda

16 Oct, 1 pm - 4 pm (AEDT)

Topics	Duration
What is a Neural Network?	45 minutes
Tensors	30 minutes
Loading a Dataset	30 minutes
Building a Neural Network	60 minutes

17 Oct, 10 am - 1 pm (AEDT)

Topics	Duration
Training on the GPU	45 minutes
Training on Multiple GPUs (DataParallel)	30 minutes
Training on Multiple GPUs (DistributedDataParallelism)	30 minutes
Training on Multiple Nodes	60 minutes

The event details may be subject to change. Please check this page for the latest information. Email: training.nci@anu.edu.au if you have any questions.

License

NCI Training by NCI Training Team is licensed under CC BY 4.0