Do you guys expect DL to have longevity generally speaking, or is the usurper already on the horizon?
There are a few non equivalent universal approximation approaches. I’m not sure I fully understand why this is will end up being the one even on a 10 year horizon.
By Deep Learning you mean neural networks with more than one hidden layer ? I've seen some results from massive random forests that are on par, but I don't know of anything that is set to replace the NN architecture, which at this point has been around in one form or another since 1957.
There are a few non equivalent universal approximation approaches. I’m not sure I fully understand why this is will end up being the one even on a 10 year horizon.