I know this question might have been asked and answered before, but I just couldn't find the answer I'm looking for.I've been reading a lot about DL, and I can understand to an extent how it works, in theory at least, and how it's different -technically- from conventional ML.But what I'm looking for is more of a conceptual meaning. Why DL? What it offers better?Let's say you're designing a self-learning system, why to choose DL? What are the main performance parameters that DL offers? Is it more accuracy? More speed? More power efficiency? Mix of all of them?What is the main parameter to optimize the network for and what can be sacrificed?I need to understand why DL from this point of view.Thanks!
Why Deep Learning?
machine learning;deep learning;deep network;performance