Top 964 Neural Networks Quotes & Sayings

We have no proper understanding of the relationship between conscious thought and conscious sensation. The various forms of thought and sensation are underpinned by very different neural mechanisms; so how can the neural correlate of their conscious natures be the same? I don't think we are yet in a position to make such speculations. To make progress, we have to have a good conception of the phenomenology of consciousness, among other things.

I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.

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.

Social networks, professional networks, offices, and schools help keep high earners in place.

Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation.

Deep neural networks are responsible for some of the greatest advances in modern computer science.

They're intimidating the networks and levying these fines, so the networks are not sure of what they can or can't do.

Health care - the ability of neural networks to ingest lots of data and make predictions is very well suited to this area, and potentially will have a huge societal impact.

Everybody used to talk about Chechnya as a place, in the Russian imperial and Soviet periods, that was essentially governed by extended family and regional networks that substituted for older clan structures. But those networks have been destroyed.

Are whisper networks good? That question itself is a little flat. Whisper networks arise in a vacuum of justice. They alleviate an untenable condition; they do not actually address it.

If you want to get into the United States, the best way, I believe, is to ride the network. There is no convergence between, say, the criminal networks and the Islamic extremist networks.

It is literally the case that learning languages makes you smarter. The neural networks in the brain strengthen as a result of language learning.

The structure of the human brain is enormously complex. It contains about 10 billion nerve cells (neurons), which are interlinked in a vast network through 1,000 billion junctions (synapses). The whole brain can be divided into subsections, or sub-networks, which communicate with each other in a network fashion. All this results in intricate patterns of intertwined webs, networks of nesting within larger networks.

I think there's gonna be three networks, and then the rest will be Internet-based, and Amazon is gonna be huge and one of the networks. This is so serious. Ha. But really, you see it happening right now. You can see the shifts.

The first attempts to consider the behavior of so-called "random neural nets" in a systematic way have led to a series of problems concerned with relations between the "structure" and the "function" of such nets. The "structure" of a random net is not a clearly defined topological manifold such as could be used to describe a circuit with explicitly given connections. In a random neural net, one does not speak of "this" neuron synapsing on "that" one, but rather in terms of tendencies and probabilities associated with points or regions in the net.

Daydreaming defeats practice; those of us who browse TV while working out will never reach the top ranks. Paying full attention seems to boost the mind's processing speed, strengthen synaptic connections, and expand or create neural networks for what we are practicing.

For the participants of whisper networks - often women - these networks hum below the surface. Whispers are take it or leave it. Whispers are a defense, not an offense.

We love salt, fat and sugar. We're hard-wired to go for those flavors. They trip our dopamine networks, which are our craving networks.

You watch these phony networks, and dishonest networks, who are 100 percent about Hillary Clinton. She's got nothing going. The only thing she's got going is the media.

Your brain does not manufacture thoughts. Your thoughts shape neural networks.

In a sense, communications networks can be defined entirely by who has cryptographic keys, and I think a lot of networks will work that way in the future.

Back in East Texas, all three networks have stations in my hometown of Tyler, and for a town that small, 85,000, to have all three networks, they all have their own news programs, six and 10, and they're always looking for news. Back when I was a judge, they were constantly coming to the courthouse and asking for comments.

BitCoin is actually an exploit against network complexity. Not financial networks, or computer networks, or social networks. Networks themselves.

There are neural networks that can build whole apps from scratch - so why are we teaching high school kids to code?

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.

Emotions are enmeshed in the neural networks of reason.

This is the evolution of television. It just keeps evolving from three networks, four cable networks, satellite. Now there's Internet channels and the phone.

I think the first wave of deep learning progress was mainly big companies with a ton of data training very large neural networks, right? So if you want to build a speech recognition system, train it on 100,000 hours of data.

I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.

People's social networks do not consist only of people they see face to face. In fact, social networks have been extending because of artificial media since the printing press and the telephone.

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.

One can, in principle, outline sort of a set of neural circuits that are critically involved and even identify disorders that affect different components of that neural circuit and see what happens if you knock out, for example, inability to recognize faces, how it affects your response to portraiture.

When you're young, you look at television and think, there's a conspiracy. The networks have conspired to dumb us down. But when you get a little older, you realize that's not true. The networks are in business to give people exactly what they want.

It is the spread of the good things that vindicates the whole reason we live our lives in networks. If I was always violent to you or gave you germs, you would cut the ties to me and the network would disintegrate. In a deep and fundamental way, networks are connected to goodness, and goodness is required for networks to emerge and spread.

Just because we say networks are important doesn't mean that networks explain everything. We're just adding additional information. Networks don't work like a match - they work like a magnifying glass.

Anybody who has spent time with the networks - in fact, you don't even have to spend time with the networks, all you have to do is just watch primetime TV - and you think, 'What the hell are they doing? I could run the network better.' And I think everybody feels that way.

We're becoming slaves to our social networks - and that's not a bad thing. You like your favorite networks, so do you friends, and pretty soon you have market winners.

The Russian leadership doesn't operate in the same way as ours does. Informal networks have a much more important role to play than formal networks.

I think it's really good that you have great competition among news networks, and for that matter all the networks in general. It's bringing more and more people in to watching the news.

The 21st century is dominated by networks because the introduction of the information age, we can suddenly create, free flow these globally distributed, organic, shaped networks of individuals.

Networking technology is at the heart of the Internet, connecting devices and local networks with the global public Internet. Planning, designing, building, managing, and supporting IP networks all require dedicated networking skills.

the mind is a neural computer

The world is changing. Networks without a specific branding strategy will be killed. I envision a world of highly niched services and tightly run companies without room for all the overhead the established networks carry.

The question is, can we make neural networks that are 1,000 times bigger? And how can we do that with existing computation?

The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster.

My particular focus at the moment is on the development of genetic algorithms and neural networks that work together to create computer architectural systems.

Don't be deluded into believing that the titular heads of the networks control what appears on their networks. They all have better taste.

It is users that are driving the networks with innovations on top of the networks and with innovations in the devices space. This is very healthy.

Everyone talks about reality TV and that there are no roles left. That's false. Years ago, there were three networks. Now there are 20 cable networks and so many ways for films to be exhibited. It's an exciting time for actors, writers, directors, and producers.

Every prime minister has a whole series of networks, and there are official formal networks and there are unofficial informal networks. I'm lucky in that I have good official formal networks, starting with my own office, the leadership group, the cabinet and the party room.

The TV Everywhere structure is good for all cable, satellite, and telephone distributors. It's good for all networks. It's good for studios that sell to networks, so it's basically good for everybody on the business side.

Look at the Chandra Levy case. It's become a Star Chamber. The major networks, the cable networks, they're being prosecutors. They're judges and jurors and executioners. Well, c'mon, that's ridiculous. But they're doing it.

The major networks, the cable networks, they're being prosecutors. They're judges and jurors and executioners. Well, c'mon, that's ridiculous. But they're doing it.

New methods always look better than old ones. Neural nets are better than logistic regression, support vector machines are better than neural nets, etc.

In China, the rules of the market are not always that transparent. So it's very hard. Also, the national TV networks are all owned by the government, so our shows are subject to censorship by the networks. Every now and then, we are told that certain subjects cannot be talked about. There are frustrations.

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.

Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.

When we made 'Fireball XL5', I'd never heard of NBC, and I didn't even know what American networks were. I knew that it would be wonderful if the show was successful in America, but I knew nothing about the American networks.

Most people (by the time they have become adults ) can't change their minds because their neural pathways have become set... the longer neural pathways have been running one way the harder it is to rewire them.

In China, Vietnam, Russia and several former Soviet states, the dominant social networks are run by local companies whose relationship with the government actually constrains the empowering potential of social networks.