- Yeah, that's a great question.
So computer learning is sort of,
we're trying to mimic human learning.
So it's just like in school, we are trained as student,
and computer was trained using data
and we were trained using textbook.
- The computers need basically two steps to learn.
First, they need a way to reading the data
in a language that they understand,
and then they need humans to tell them
how to perform the specific task.
So for example, if you want a computer
to distinguish between apples and bananas,
first, they need a way to see the banana or the apple
because they cannot, they don't have eyes, obviously.
So the computers can only see numbers.
So they need a way for us to convert the banana into numbers.
And one way in which people can do it
is either measuring characteristics of the banana.
And then you tell them, this is a banana, this is an apple.
And the computer is capable,
and that's what the learning's happening,
is capable of finding patterns among the numbers
that all the bananas have in common
and all the apples have in common.
So that if you later give them another image of an apple,
it will identify those same patterns
and be able to predict that it is an apple.