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Meet the algorithm that can learn “everything about anything”

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Re: Meet the algorithm that can learn “everything about anything”

#51

Post by ScottBurson »

agibsonccc wrote: post #44
zwieback wrote: post #34

Earlier quoted context omitted.

Judging by the amount of "deep learning" submissions to HN bad times for AI are already here although maybe they never left. In defense of the LEVAN thing, though, I didn't see any claims that this is science at all, more like an exploratory application illustrating an algorithm.

Disclaimer: I have vested interest in Deep Learning having built a distributed deep learning framework[1] and building a business around it. Deep Learning is actually worth the hype though. It has 2 main merits that are interesting. 1. Auto Trend Discovery 2. Plays very well with parallelism The main problem, which I'm hoping to fix, is feasibility and ease of use. Neural nets to the untrained eye can be a black box…

Wow, this is very cool! I take it your business model is basically consulting?

Re: Meet the algorithm that can learn “everything about anything”

#52

Post by varelse »

cscurmudgeon wrote: post #31

One of the hallmarks of bad science is overly grand claims paired with aggressive marketing. Bad times are coming for AI again.

It's easy to demonstrate that this is a huge advance in AI. All these guys need to do is start entering Kaggle competitions and win, and win, and win, and win...

That said, given that Google et al. are scraping every corner of the bottom of the barrel in search of advances in search, I think the good times for AI peeps will continue for some time...

Re: Meet the algorithm that can learn “everything about anything”

#53

Post by agibsonccc »

ScottBurson wrote: post #51
agibsonccc wrote: post #44

Earlier quoted context omitted.

Disclaimer: I have vested interest in Deep Learning having built a distributed deep learning framework[1] and building a business around it. Deep Learning is actually worth the hype though. It has 2 main merits that are interesting. 1. Auto Trend Discovery 2. Plays very well with parallelism The main problem, which I'm hoping to fix, is feasibility and ease of use. Neural nets to the untrained eye can be a black box…

Wow, this is very cool! I take it your business model is basically consulting?

Yes. I'll have a cleaner website with that going up next week. I just got done running a 20 node cluster on amazon training a few different datasets, it hummed ;).

The overall idea is a support, services, training model.

Support: Install/Infrastructure

Services: Help with data etl/onboarding, tuning

Training: How to use deep learning, how to think about it, and how to run/setup clusters. This will be run through the machine learning academy I teach at[1]

[1]: http://zipfianacademy.com/

Re: Meet the algorithm that can learn “everything about anything”

#54

Post by cscurmudgeon »

agibsonccc wrote: post #44
zwieback wrote: post #34

Earlier quoted context omitted.

Judging by the amount of "deep learning" submissions to HN bad times for AI are already here although maybe they never left. In defense of the LEVAN thing, though, I didn't see any claims that this is science at all, more like an exploratory application illustrating an algorithm.

Disclaimer: I have vested interest in Deep Learning having built a distributed deep learning framework[1] and building a business around it. Deep Learning is actually worth the hype though. It has 2 main merits that are interesting. 1. Auto Trend Discovery 2. Plays very well with parallelism The main problem, which I'm hoping to fix, is feasibility and ease of use. Neural nets to the untrained eye can be a black box…

Look up Thinking Machines :)

My point is that mixing business goals and scientific truth is dangerous if not handled carefully. That said all the best with both your goals.

Re: Meet the algorithm that can learn “everything about anything”

#56

Post by agibsonccc »

cscurmudgeon wrote: post #54
agibsonccc wrote: post #44

Earlier quoted context omitted.

Disclaimer: I have vested interest in Deep Learning having built a distributed deep learning framework[1] and building a business around it. Deep Learning is actually worth the hype though. It has 2 main merits that are interesting. 1. Auto Trend Discovery 2. Plays very well with parallelism The main problem, which I'm hoping to fix, is feasibility and ease of use. Neural nets to the untrained eye can be a black box…

Look up Thinking Machines :) My point is that mixing business goals and scientific truth is dangerous if not handled carefully. That said all the best with both your goals.

Sure! You're absolutely right. There are just a lot of myths about deep learning that I like clearing up, that being: it's a real world algorithm with actual merits, not just some marketing hype.

Marketing hype and machine learning really does make things convoluted. That being said, what DOESN'T the press exaggerate?

The track record for AI has definitely been over promise and under deliver. I think the hardware is getting there where we can start making real progress though.

In this case, google is putting its money where its mouth is.

Thanks for the wishes, it's been a great ride so far. My overall goal with this is to bring deep learning to everyone else. I see real merits in auto discovery of trends to automate some of the worst parts of machine learning and would like others to see these benefits as well. Seeing cool apps built with it is another side goal of this as well.

Re: Meet the algorithm that can learn “everything about anything”

#57

Post by judk »

fhars wrote: post #38
cscurmudgeon wrote: post #31

One of the hallmarks of bad science is overly grand claims paired with aggressive marketing. Bad times are coming for AI again.

And it is [patent pending] See http://levan.cs.washington.edu/?state=show_about

Which means it is illegal for a practitioner to read about this work, and it is best left ignored by the scientific and technical community

Re: Meet the algorithm that can learn “everything about anything”

#58

Post by brickmort »

agibsonccc wrote: post #44
zwieback wrote: post #34

Earlier quoted context omitted.

Judging by the amount of "deep learning" submissions to HN bad times for AI are already here although maybe they never left. In defense of the LEVAN thing, though, I didn't see any claims that this is science at all, more like an exploratory application illustrating an algorithm.

Disclaimer: I have vested interest in Deep Learning having built a distributed deep learning framework[1] and building a business around it. Deep Learning is actually worth the hype though. It has 2 main merits that are interesting. 1. Auto Trend Discovery 2. Plays very well with parallelism The main problem, which I'm hoping to fix, is feasibility and ease of use. Neural nets to the untrained eye can be a black box…

DL4J is fascinating! thanks for sharing, I'm definitely going to do some playing around with this framework.

Re: Meet the algorithm that can learn “everything about anything”

#59

Post by baddox »

thret wrote: post #12
baddox wrote: post #5

Earlier quoted context omitted.

I don't think there is a meaningful distinction. Do chess computers have a "fundamental understanding" of chess, which humans traditionally considered a benchmark of human intelligence/strategy? Analogous to the philosophical zombie thought experiment, I think that "real intelligence/understanding" is indistinguishable from simply being able to perform actions to accomplish the same tasks that humans traditionally co…

If fictional media is anything to go by, the single defining aspect of human intelligence is love. This is the last bastion of human understanding that is incomprehensible to evil, machines and aliens.

But love is indistinguishable from a set of actions that we traditionally associate with love, any of which a computer system (especially one connected to a realistic android) could conceivably perform.

Re: Meet the algorithm that can learn “everything about anything”

#60

Post by bsenftner »

judk wrote: post #57
fhars wrote: post #38

Earlier quoted context omitted.

And it is [patent pending] See http://levan.cs.washington.edu/?state=show_about

Which means it is illegal for a practitioner to read about this work, and it is best left ignored by the scientific and technical community

illegal? No.
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