Kind: captions
Language: en
when you are I look at this creature we
know it's a dog but when a computer sees
him all it sees is this how do I get a
computer to recognize that this photo or
this one or that one is a photo of a dog
it turns out that the only reliable way
to solve this problem is to give the
computer lots of examples and have it
figure out on its own the average the
numbers that really represent the dog
here's where deep learning comes in as
you might recall it's a program based on
the way your brain works and it looks
something like this here we have layers
of sensors or nodes each feeds
information in one direction from input
to output the input layer is kind of
like your retina the part of your eye
that senses light and color in the case
of this photo off buddy
it senses dark over there light over
here this information gets fed to the
next player which can recognize basic
features like edges that then goes to
the next layer which recognizes more
complex features like shapes finally
based on all of this the output layer
labels the image is either dog or not
but here's the kicker and this is what's
revolutionary about deep learning and
neural networks at first the computer
has no idea what it's looking at it just
responds randomly but each time it gets
a wrong answer information flows
backwards through the network saying you
got the answer wrong so anybody who was
supporting that answer your connection
string should get a bit weaker and
anybody who was supporting the right
answer their connections got stronger
back and forth it does this over and
over again
until thousands of images later the
computer teaches itself the features
that define dog eNOS
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