4 ms·
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 t
by kaffeemitsahne 11y ago
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_sullivan 11y 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.)
- kaffeemitsahne 11y agoIt's interesting stuff. Don't really see why you were being so dismissive towards OP tho.