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Maybe the problem itself is not elegant (hence why it's not solved in closed form)? Neural networks learn thousands of different algorithms in parallel. It's pr
by return0 9y ago
Maybe the problem itself is not elegant (hence why it's not solved in closed form)? Neural networks learn thousands of different algorithms in parallel. It's probably not a single idea behind it, it may be thousands. It's more like experimental science: the system is there, it works, someone else needs to analyze it to figure out how it does what it does.
- kefka 9y agoThat's my point. Anybody can shove in gigs of data, clean it up some, provide easily digestible samples, make a whole lot of parameters (or let the system decide), and scrape the data out. How is it working? What criteria does it work and fail? Does it work for black people? Does it work for women's hands? (Or does it work for anyone out of university?) does it handle people with hand defects or missing digits? That's right... We don't know unless we test this. And only by adding more data can we even determine those questions. And we haves no clue how its working, what features its using, or anything. Just, that it does work. And it doesn't for conditions were unsure of. Now this is a great starting plank for determining the underlying math. But even the cost of compute seems high for what it could ideally be, if we understood what was going on.