One-time learningRefers to the ability of a machine to repeat work in different environments after being demonstrated once, without having to master the new environment in advance.

One-time learning description

One-shot learning originates from human learning. Humans can usually learn many new skills by imitating others after watching them demonstrate once or twice. It is often used to deal with object classification problems in computer vision, aiming to obtain information about object categories from one or a few training images.

One-time learning is to quickly learn new work skills according to demonstrations after learning the work skills, that is, prior knowledge, and based on the knowledge framework formed by the previously learned skills.