Lets make an example. Lets say you’re trying to teach an AI to recognize, lets say fire hydrants, in random pictures.
Digital pictures are essentially just a sequence of 1’s and 0’s, so you can feed these to the software. Then you start off by manually feeding the AI a lot of pictures that either do or do not have fire hydrants, and you tell it which are which. Then as the AI is fed more and more pictures it can narrow down a set of rules that pinpoint which sequences of bits represent fire hydrants and whether there is one in a picture or not.
It’s essentially comparable to if I gave you 100 pictures, that each came with a yes or no label and you had to identify what was special about the “yes” images.
That’s what the computer is doing, but since a simple AI doesn’t understand how an image is a representation of a 3 dimentional world, it just takes many times more pictures.
And at the end the software will still have no concept of what a fire hydrant is, it’ll just be really good at identifying them.
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