These kind of NN were standard at university for me, while DLNN are very hyped right now. Been there, done that - what's the big deal?
I heard also that stacked NN are considered deep-learning. How is deep-learning really defined?
My background of NN is mostly from university, not from jobs:
- studied applications of NN in industry
- had about 5 courses on artif. intel. & mach. learn. - though maybe 2 of them on NN
- used NN for small, simple project on image recognition - used 3 layer feed-forward NN
- did not do real research (as in doctor thesis) on them