What is one-shot learning? | What is... - TechTalks

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.

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Ben Dickson, founder of TechTalks observes, One-shot learning allows deep learning algorithms to measure the similarity and difference between two images. 
 

Facial recognition mobile app
Photo: Depositphotos

Passport checks at airports and border gates present a special challenge: How do you tell if the person standing in front of you is the same person whose picture is in the passport? Border and customs officers solve this problem using the complex mechanisms ingrained in the human visual system through billions of years of evolution.
It’s not a perfect process, but it works well most of the time.

In the realm of artificial intelligence, this is called the “one-shot learning” challenge. In a more abstract way, can you develop a computer vision system that can look at two images it has never seen before and say whether they represent the same object?...

One-shot learning is an exciting and active area of research. There are other variations of the method, including zero-shot and few-shot learning.
Read more... 

Source: TechTalks