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Jeff Dean on Large-Scale Deep Learning at Google

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Re: Jeff Dean on Large-Scale Deep Learning at Google

#12

Post by npalli »

giardini wrote: post #9

From the article "...it seems like an excellent time to gloss Jeff’s talk..." "gloss" a talk? WTF?

To gloss is to annotate some text (or talk)[1], the word glossary comes from that. That meaning is overshadowed by the more modern association with shininess but the annotation meaning seems appropriate here.

[1] https://en.wikipedia.org/wiki/Gloss_(annotation)

Re: Jeff Dean on Large-Scale Deep Learning at Google

#14

Post by jasonwatkinspdx »

return0 wrote: post #5

Tangentially, watching the pace of papers coming out in machine learning is insane. It's so fast, people may literally cite powerpoint slides when the paper doesnt exist yet. The culture of openness seems to have fostered this insane pace. Contrasting that with the reclusive culture of life sciences explains why there is slow progress there.

I think what you're saying is broadly true, but I'd moderate it a bit by pointing out that reproducing and extending research in software is a heck of a lot simpler and faster than working in topic areas that require physical experiments and processes.

Re: Jeff Dean on Large-Scale Deep Learning at Google

#16

Post by p1esk »

hackuser wrote: post #6
return0 wrote: post #5

Tangentially, watching the pace of papers coming out in machine learning is insane. It's so fast, people may literally cite powerpoint slides when the paper doesnt exist yet. The culture of openness seems to have fostered this insane pace. Contrasting that with the reclusive culture of life sciences explains why there is slow progress there.

If someone with technical expertise wanted to keep up on this field, but it wasn't their profession - i.e., they don't need to know every detail and don't have time to read a lot - what would be a good source?

Follow Yann Lecun's posts on Facebook.

Re: Jeff Dean on Large-Scale Deep Learning at Google

#17

Post by dzdt »

toddh wrote: post #7
yeukhon wrote: post #2

Nice. Forbbiden. Did we manage to crash the site? highscalability.com supposed to be pretty high-volume site.

Sorry about this. It means Squarespace has black listed your IP for some reason. Unfortunately I can't do anything about it. If you can try from another address it will probably work.

I am blocked on a (verizon) cellphone.

Re: Jeff Dean on Large-Scale Deep Learning at Google

#18

Post by knn »

goc wrote: post #10

I am very interested in AI that can teach itself(sounds too great). Where can I learn up about such AI(related concepts and the whole 9 yards) to start reading papers in the field? I am just looking for comprehensive sources(preferably textbooks).

AI by Russell and Norvig. Machine learning by Murphy, Elements of Statistical Learning by Hastie et al. Just a few good ones out of many!

Re: Jeff Dean on Large-Scale Deep Learning at Google

#19

Post by YeGoblynQueenne »

>> If you’re not considering how to use deep neural nets to solve your data understanding problems, you almost certainly should be. This line is taken directly from the talk

And this is exactly why Google's hype of their tech is getting dangerous for everyone else, who is not Google. Because they advocate, nay, they preach, that everyone should abandon what they're doing and do what Google tells them works. And, oh, look, we just released those nice, free tools you can use to do it like we do!

Which is insane. Google is a corporate entity. It has financial interests. The purpose of its existence is to sell you its stuff, it doesn't give a dime if you'll solve your problems or not.

This piece of advice is like Bayer, back in the day, selling its Aspirin as the cure of all ills: "If you're not considering how to take Aspirin to solve your health problems, you almost certainly should be".

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