undefined | Better HN

0 pointsdave_sullivan10y ago0 comments

They're the current hip thing because they work really well and keep working better. They take a fundamentally different (I think better) approach than he's taking.

My recommendation comes from a more informed place than "Dur, neural networks!" Of course, this is my opinion, and you are welcome to have a different one.

What is your recommendation on the topic of most promising research areas for teaching reading comprehension to computers? Skip deep learning and read what instead? Or the OP has it figured out?

0 comments

3 comments · 1 top-level

kaffeemitsahne10y ago· 2 in thread

I think the strength lies in combining NNs with less fuzzy approaches (like the OP, or more explicit pattern matching). Coulda made that a bit clearer, I have to admit. Cuz who would want to spend an hour training their net on a big GPU for every new command they add? :P

To take a concrete example: we trust neural networks to do the handwriting recognition at the postal office, but once the address is digitized we use a simple database.

dave_sullivanOP10y ago

>> I think the strength lies in combining NNs with less fuzzy approaches

Haha, I think you'll find the deep learning camp agrees. Read the paper I posted, that's what the research is about (going from fuzzy knowledge to more specific/discrete knowledge.)

kaffeemitsahne10y ago

It's interesting stuff. Don't really see why you were being so dismissive towards OP tho.

j / k navigate · click thread line to collapse