Transfer Learning
A machine learning technique where a model trained on one task is repurposed as the starting point for a model on a second, related task, leveraging previously learned representations.
In plain language
Using knowledge an AI learned from one task to help with a different task. An AI that learned to recognise cats can transfer some of that knowledge to recognising dogs; it already knows about fur, ears and eyes.
Why this matters
Transfer learning enables faster AI development and deployment with smaller datasets. For Australian organisations, this can accelerate AI adoption whilst reducing data collection requirements, easing Privacy Act compliance and reducing time to value.
Relevance
ImplementationDemonstrates how organisations can accelerate AI development with limited data, reducing both time-to-market and privacy burden in data-constrained contexts.
Related terms
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