Introduction to deep learning workshop
Online workshop introducing deep learning using Python, designed for postgraduate research students and researchers to build on their existing machine learning knowledge.
On this page:
Deep learning (DL) is a specialised subset of machine learning that uses artificial neural networks to extract insights from data. Neural networks are artificial representations of neuron cells, and each neuron receives an input, applies some processing to it, and produces an output. This workshop introduces deep learning terminology and concepts, and then demonstrates how to develop and apply a neural network to classify data and make predictions. Participants will be need experience with basic Python such as writing loops and functions, and should also have basic familiarity with machine learning (by attending Introduction to machine learning).
Event details
Dates for 2026:
Wednesday 4 - Thursday 5 November, 9:30am-1pm
Learning outcomes
Attendees will be able to:
- Define Deep Learning (DL) and how it relates to Artificial Intelligence (AI).
- Describe the fundamental components of a neural network.
- Explain how neural networks are used to make classifications or predictions.
- Develop and apply a neural network implemented with Python to classify data and make predictions.
After the workshop
- View the online curriculum.
- See GPUs for research computing and AI for how to access GPUs via University-facilitated research compute services.
- Python users of any experience level are encouraged to engage with their peers across the University research community, including workshop instructors and CeR staff, by joining Hacky Hour to post questions and exchange ideas.
Contact
Research Data Support Services
Email: researchdata@auckland.ac.nz