> Also why does every single result has to be breathtaking?
If you build the hype like say Andrew Ng it better be. Also if you consume more money per month than all the CS departments of a mid sized country, it better be.
If you build the hype like say Andrew Ng it better be. Also if you consume more money per month than all the CS departments of a mid sized country, it better be.
For instance: even if Elon Musk doesn't colonize Mars but instead just builds the BFR, that would still be amazing; even if BFR is never build but falcon 9 becomes fully reusable that would be great; even if falcon 9 won't be fully reusable, the fact that it cut the launching cost to space is still pretty good.
Even if we don't achieve any great breakthroughs with AGI, the fact that we started to use transfer learning to diagnose human disseases is pretty amazing; the fact that a japanese guy used tensorflow on a raspbery pi to categorize real cucumbers by shape is amazing.
All of this stuff won't go away; people will not say "hey, let's just forget about this deep learning thing and put it in some dusty shelf, it's useless for now". Maybe it will take 20 or 50 more years, maybe it's a slow thaw, but how could this be a winter?
I’m happy to leave the hard problems for the PhDs and the big tech researchers. Go nuts, folks.
In the meantime, the applications for small-scale, pre-trained neural networks seem limitless. Manufacturing, agriculture, retail, pretty much any industry could make use of portable neural networks.