Also, am I misunderstanding, or is the "Deep" part of Deep Learning not a very quantifiable thing? I.e. there's no rule that says "Your neural net isn't 'deep' unless it has X amount of layers or N amount of nodes per layer" or anything. It just specifies using large neural networks for examining a huge amount of data and feature set. Right?

So really, any AI-based learning is going to be "deep" from now on, simply because we've reached the point where we can handle large neural nets and complex datasets, right?