Machine Learning
Few-Shot Learning
Machine Learning· Advanced
Definition
A machine learning approach where a model learns to perform tasks from very few training examples — typically 1 to 20 per class. Leverages meta-learning and transfer learning to generalize rapidly from minimal data. Increasingly enabled by large pre-trained models that possess broad prior knowledge.
Tags
#meta-learning#generalization#data-efficiency#transfer
MS
Maxx Stacks Editorial
Reviewed by enterprise AI practitioners
Maxx University
Keep learning. Keep building.
250+ terms. 5 learning paths. AI maturity assessment. Jargon translator. All free, always.