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So I showed you some examples of neural networks in computer vision and
doing classification.
Is there a labrador retriever in this image?
But they can do quite a bit more.
So, for example, we can do image parsing.
So in this example, for every picture in the image,
you're trying to classify it and discover regions.
So in the center top image, you see a region of sky,
another region of grass, and so on.
And this kind of image description, or is called scene understanding,
is pretty cool, and you know networks again, provided significant gains.
But if we go back to the beginning of the module
when we discussed a new way to shop for shoes or dresses,
the thing that we're really trying to do there is retrieve similar images.
So, for example, if I give you the input of this boring black shoe,
what neural network with output.
Deep neural network is the shoes that are shown here.
A bunch of boring black shoes.
Now, if I do this a little bit more stylish boot,
you'll see that it gives you a variety of interesting boots like that.
Similarly, for heels, for brown shoes, for sneakers and so on.
So this is the core of the concept that we're using in the demo that we showed at
the beginning of the module.
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