So neural networks can look at a real picture and categorize for you, like Google Photo or facebook. They can find people’s faces and automatically tag them. They can read hand writings and analyze signatures. Self-driving cars use neural network to learn how to drive. Neural networks can even look at a picture and describe what’s in it in correct English.
Now it can even do abstract recognition, like a doodle…
I remember having an argument with my psychology professor (25 years ago) about self-driving cars. My assertion was that neural nets was the way to go, thus allowing the car to figure out what constitutes ‘good driving’. He was all for a rule-based approach and pretty much called me an idiot in front of our tutorial group.
This was back in the days when training a feedforward 50-node neural net took several minutes on a Sun workstation, so I suppose I can excuse him for being an idiot.
Even 5 years ago, lots of paper submissions were rejected just for using neural net as the way to solve the problem. Things didn’t really turn around until 2011, when GPU powered mixture of convolutional layers, max-pooling layers, and classification layers began to out perform all other methods in image recognition competitions.
Back when yahoo had their online pictionary game, there’s always gonna be a guy trying to draw male genitalia for everything, and usually that guy gets booted from the game room.
some Taiwanese guy tried this on google, and google played on like a champ…
Why are men compelled to do that? I mean there are cave paintings that look like the doodles in that link.
I just tried it, and it never guesses you’ve drawn a huge knob instead of the Eiffel tower or a cannon.
Actually it’s a bit of a cheat, because it has a priori knowledge of what the image is supposed to be (‘draw a … in 20 seconds’) and simply has to guess a yes/no match. As opposed to actually guessing what you’ve drawn. Not much of a technical challenge.
No, it doesn´t know what you are asked to draw, I think. But what it does know is the list of possible things you could be painting, and that eases up the guessing a lot.
This reminds me of something much older but really cool IMO: