A Quote by Geoffrey Hinton
I get very excited when we discover a way of making neural networks better - and when that's closely related to how the brain works.
Related Quotes
The important thing to know about playing to win and playing not to lose is that there are actually different neural networks that are being used. It's not very easy to do both at the same time and, if you are trying to have a playing to win mentality, you're going for it, there's some things that trip you up or trigger the wrong neural network. If you start worrying about your mistakes all of a sudden, if you get too focused on the facts and the details, these are going to shift your neural networks and sort of screw up your strategy.
I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.
The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster.
Cognitive neuroscience is entering an exciting era in which new technologies and ideas are making it possible to study the neural basis of cognition, perception, memory and emotion at the level of networks of interacting neurons, the level at which we believe many of the important operations of the brain take place.
It is literally the case that learning languages makes you smarter. The neural networks in the brain strengthen as a result of language learning.
It used to be thought that you stopped making new neural connections in your youth and from then on your brain was fixed and it was downhill all the way. But in fact as we know from our own experience we can keep on learning and learning means changing our brain on a physical level.
The continuous networks of neural circuitry accomplish their functions using multiple, independently discovered strategies. The brain lends itself well to the complexity of the world, but poorly to clear-cut cartography.
That's what I like about the idea of the aesthetic experience, the idea of both enjoying looking at works of art and how they kind of talk to you, and also the process of making art, getting back to that idea of the aesthetic experience of making art is very important, It's another way of thinking. Instead of just using your brain, you're using your hands to think with. They're different connections, the brain that comes through the fingertips as opposed that comes through the eyes and ears.
The question is, can we make neural networks that are 1,000 times bigger? And how can we do that with existing computation?
Your brain does not manufacture thoughts. Your thoughts shape neural networks.
I just don't know the art of making friends with girls. And that's the reason why I've never had a single girl as a friend. Also, I'm so engrossed in cricket that I've never found an opportunity to interact with girls very closely. In a way, it's better, as my mind doesn't get diverted!
As a programmer, you're working with very simple structures compared to the brain. So I was always fascinated by how the brain works.
if networks of women are formed, they should be job related and task related rather than female-concerns related. Personal networks for sociability in the context of a work organization would tend to promote the image of women contained in the temperamental model - that companies must compensate for women's deficiencies and bring them together for support because they could not make it on their own. But job-related task forces serve the social-psychological functions while reinforcing a more positive image of women.
There's so many mysteries related to how flies are able to make their way through the world. I'd certainly like to know a lot more about how their brain works. I'd certainly like to know a lot more about just how they're put together. I mean, these animals are basically, topologically, spheres. They don't have bones as we do, of course.
The brain is really hard to see. The whole thing is very large - the human brain is several pounds in weight - but the connections between brain cells, known as synapses, are really tiny. They're nanoscale in dimension. So if you want to see how the cells of the brain are connected in networks, you have to see those connections, those synapses.
The brain has a quality referred to as plasticity. The ability to form new neural pathways even into very old age. The brain is fluid, flexible and incredibly adaptable to new experiences.
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