➤ One-shot learning is a classification task where one, or a few, examples are used to classify many new examples in the future.
➤ This characterizes tasks seen in the field of face recognition, such as face identification and face verification, where people must be classified correctly with different facial expressions, lighting conditions, accessories, and hairstyles given one or a few template photos.
