GLOSSARY TERM
What is One-Shot Learning?
An algorithmic paradigm capable of classifying objects given only one example.
One-shot learning systems, often relying on Siamese networks or massive pre-training, calculate similarity metrics rather than absolute classifications. This enables the model to identify new classes based on a single reference instance.
Ultra-Fast Adaptation
Deploy sophisticated one-shot adaptation layers leveraging the M1 stack.