... It is simple, the idea exists since 40y ago, it's just being done at scale
Edit: make it 80 actually
Miaou
joined 1 year ago
I've already seen this. If you know some programming and not a software person, you can probably automate a good chunk of your work
Of course not, but what does this have to do with generative models? Deep learning has as much to do with learning as democratic people's north Korea does with democracy.
Yeah I wouldn't take this number at face value, let's wait for some real world usage
Are there triggers in the sql database? It's too easy otherwise
You're confused by the analogie because it's a shitty one. If we wanted to reproduce the behaviour of the human, we would invest in medecin, not computer science
Probably the reason they're moving to a Web offering. They could just take down the binary files and be gpl compliant, this whole thing is so stupid
Until they come with some preprocessing step, or some better feature extractors etc. This is an arms race like there are many of
Yeah, just make your own Spotify, how difficult is that?
I bet I know much more on the topic than you, but please enlighten me on which part of this is complex?
The core concepts of DNNs are taught in high-school, and putting them together can done by a Bachelor student. Shit, people often advise writing a NN libraries as a good learning exercise when picking up a new programming language.
I think mathematically illiterate people assume that incredible results necessarily imply complexity, but that's simply not the case here. Or the idea that unknown things are necessarily complex, maybe.
The main reason DNNs are popping up is because we finally have the hardware for it. And the second reason is that tech companies have the resources (both financial and in terms of available data) to throw at it.