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What a Deep Neural Network thinks about selfies

karpathy.github.io

1–10 of 56 posts

Re: What a Deep Neural Network thinks about selfies

#2
This is neat. I bet Facebook or OkCupid are sitting on all sorts of click data that could be used to develop tools for helping people make their photos look better. (Even if, personally, I can't wait for a cultural backlash against internet narcissism...)

[Edit: Even better, he didn't use click data to train the model, just public likes.]

Re: What a Deep Neural Network thinks about selfies

#7
One thing I always found interesting is Lecun is credited with developing covnets, but Hinton is apparently credited with scaling them and showing the world how great they are in the paper from 2012 - why was Hinton's group (Toronto) able to publish these ground breaking results before Lecun's group (NYU)

Re: What a Deep Neural Network thinks about selfies

#9
post #4

A guide on how to take a good selfie that others will like: be female be blonde be attractive Incidentally, Christian Rudder did a really good "study" on the dating site pictures a few years ago: http://blog.okcupid.com/index.php/dont-be-ugly-by-accident/

A better guide on how to take a selfie:

    Don't take a selfie.

Re: What a Deep Neural Network thinks about selfies

#10
post #3

looking at the top 100 one can only wonder how Hollywood has figured it out well before mighty power of computer :)

For me, this thing about having the top of your head cut from the picture is new. Who would have thought..

Makes a bit of sense, in combination with the "be female" advice, cutting off the forehead puts the center of the photograph closer to her cleavage, and typically shows off her entire chest.
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