I'm a little curious, so please let me know.
I can imagine that if you let artificial intelligence learn a person's face (photograph), you will be able to identify a person to some extent even if it's a different picture. On the other hand, is it possible to make them judge that "this person is a person who has never learned before"?
machine-learning
It is possible to create models and systems that infer that "this person is a person who has never learned before."Simply, if the model that judges A based on A's learning data, and the model that judges B based on B's learning data, all of them are false, you can judge them as "people who have never learned."
Whether you can draw the inference that "this person is a person who hasn't learned before" from a model or system created for a different purpose depends on the original purpose, but it's not a good way to use it in general.For example, using data from both Mr. A and Mr. B to determine who is more likely to be Mr. A or Mr. B will not produce good results.
Yes, it's possible.Deep Learning is often used these days.Rather, it is already becoming a red ocean.Why don't you refer to the slides below?
For implementation, I think the following articles are interesting (although these are facial recognition in anime, not photographs, the principles are the same).
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