Empowering researchers with Deep Learning skills: JCU eRA leads CNN workshop on Gadi

QCIF’s eResearch Analyst from James Cook University, Dr Erin Graham, recently led a highly successful two-day workshop on Image Classification with Convolutional Neural Networks (CNNs), hosted on Gadi, the National Computational Infrastructure’s (NCI) peak supercomputer.

This advanced training opportunity brought together researchers and data professionals from across Australia, providing them with hands-on experience in building and deploying CNNs for image classification tasks using high-performance computing (HPC) resources.

In this workshop, Erin guided participants through the basic theory and practical implementation of image classification using CNNs. The course began with an introduction to artificial neural networks (ANNs), a machine learning technique inspired by the interconnected neurons in the brain, explaining their structure and function. Erin then focused on CNNs, highlighting their unique capabilities in processing and analysing image data.

The use of Gadi enabled participants to train and test their models on medium-scale datasets with impressive speed and efficiency, offering a valuable introduction to using national research infrastructure for computationally intensive machine learning tasks.

Positive feedback and strong collaboration

The workshop received overwhelmingly positive feedback, with participants highlighting Erin’s deep understanding of both the technical and applied aspects of CNNs.

“I got a great introduction to convolutional neural networks. Erin the instructor was great: patient, friendly, knowledgeable." - Introduction to Image Classification participant.

This successful workshop highlights the strength of QCIF’s collaboration with NCI in delivering accessible, impactful, and technically rich training to Australia’s research community. It also reflects QCIF’s ongoing commitment to empowering researchers with the digital skills needed to accelerate discovery using cutting-edge tools.

We thank Erin for her fantastic work and look forward to more skill-building events like this across the QCIF network.

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