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" "If you or I learn something and want to transfer that knowledge to someone else, we can’t just send them a copy. But I can have 10,000 neural networks, each having their own experiences, and any of them can share what they learn instantly. That’s a huge difference. It’s as if there were 10,000 of us, and as soon as one person learns something, all of us know it. It’s a completely different form of intelligence. A new and better form of intelligence.
Geoffrey Everest Hinton (born 6 December 1947) is an English-Canadian cognitive psychologist and computer scientist best known for his work on artificial neural networks. Since 2013, he divides his time working for Google (Google Brain) and the University of Toronto.
Biography information from Wikiquote
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... as soon as I got backpropagation working, I realized--because of what we'd been doing with Boltzmann machines--that you could use autoencoders to do unsupervised learning. You just get the output layer to reproduce the input layer, and then you don't need a separate teaching signal. Then the hidden units are representing some code for the input.
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I'm much more interested in how the brain does it. I'm only interested in applications just to prove that this is interesting stuff to keep the funding flowing. To do an application really well, you have to put your whole heart into it; you need to spend a year immersing yourself in what the application' s all about. I guess I've never really been prepared to do that.