Also known as: One shot Learning Β· One Shot Learning
One-shot learning is a machine learning approach that aims to learn a useful classification or recognition pattern from a single example. It is especially relevant in settings where collecting many labeled examples is difficult.
A machine learning approach, often used for object classification, designed to learn effective classification model from a single training example. See also few-shot learning and zero-shot learning.