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America Inc.
Nov 22, 2013

I plan to live forever, of course, but barring that I'd settle for a couple thousand years. Even 500 would be pretty nice.

bob dobbs is dead posted:

if its like 20k thats a nice afternoon for a few peeps w/ real eyeballs

No joke, measure how long it takes you to label say, 50 images. Then figure how many people you could assign to labeling the data and how many hours it would take for each of them. If you don't have anyone, like if this is a personal project (with non-sensitive data), then maybe outsource to mechanical turk?

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America Inc.
Nov 22, 2013

I plan to live forever, of course, but barring that I'd settle for a couple thousand years. Even 500 would be pretty nice.
And this is why to my understanding people working in AI like to use and rely on pre-labeled public datasets. If there were an algorithm to cluster the images why would you need to do classification in the first place?

America Inc.
Nov 22, 2013

I plan to live forever, of course, but barring that I'd settle for a couple thousand years. Even 500 would be pretty nice.

cinci zoo sniper posted:

That trick is called Mechanical Turk, or a specialised data labelling service. I do NLU,

That's Natural Language Understanding, right? Do you know of some good intro books into that field? I have an interest in linguistics and NLP + NLU.

America Inc.
Nov 22, 2013

I plan to live forever, of course, but barring that I'd settle for a couple thousand years. Even 500 would be pretty nice.

cinci zoo sniper posted:

Yeah it’s not a DL book per se, but jumping directly into DL without understanding what you’re trying to do or why is like trying to do a backflip with a motorcycle when you can’t do it water, imo.

I've been taking Andrew Ng's deep learning Coursera series so I've got some DL background, albeit the courses could use more practical focus on projects beyond "add these 2 lines which we have spelled out for you to an almost complete function".

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