Geoffrey Hinton

Because that might be a bird's eye.

I mean, there's all sorts of other things.

It could be a button.

It could be a knob on a computer.

It could be anything.

But it might be a bird's eye.

So, that's the second layer.

Now, in the third layer, I might have something that looks for a possible bird's eye and a possible bird's beak

that are in the right spatial relationship to one another to be a bird's head.

I think you can see how I would do that.

I'd hook up neurons in the third layer to the eye detectors and beak detectors that are in the right relationship to one another.

to be a bird's head.

So now in the third layer, I have things that are detecting possible bird's heads.

And I know how to build all that.

I know how to put in the connection strengths on the connections.

So when I put the pixels in, it'll activate a bunch of line detectors.

Those will activate a bunch of sort of beacon eye detectors.

And if they're in the right relative positions, they'll activate a bunch of bird's head detectors.

And of course, I need these all over the image, so I need huge numbers of them.

Because the bird could be anywhere randomly in the image.