What is an one-shot learning?
A machine learning approach, often used for object classification, designed to learn effective classification model from a single training example.
one-shot learning explained in plain English
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.
Example
Practitioners refer to one-shot learning when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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