Zero-Shot Learning Explained for Beginners

Zero-Shot Learning is a technique where a computer program can recognize or understand new things without having seen or learned them before.

Imagine you see an animal you have never seen before, but you can still correctly name it because you know a description of it.

Zero-Shot Learning works similarly: the model uses knowledge about properties or descriptions to recognize new categories without needing examples.

This makes computer programs more flexible because they do not need to be specially trained for each new task or new object.