There's a bit of optimism about technology adoption here; I'm guessing Ferenc is part of a bleeding edge research community from how he talks about the ease of

There's a bit of optimism about technology adoption here; I'm guessing Ferenc is part of a bleeding edge research community from how he talks about the ease of uptake and adoption for new technologies. The reality is there are still companies looking for their first 'big data' data scientist years after this was a 'hot area'. While aggressive researchers, then aggressive companies, then fast follower researches / companies, then ... all do eventually adopt useful technology, it can take decades in some cases. So, do learn deep learning. But from my own experience, he's right in that you'll think "that's it?" once you've constructed a few networks and read through some basic 2014+ literature on tuning and tips. But, that will put you ahead of the VAST majority of technologists inre: deep learning. Seriously. I think he's 100% right that the search for usefulness / novel applications is where the game is going to be for deep networks, but it's seems silly to tell people not to learn how to work with them.