Following up on this question...
I am attempting to learn how to use and create neural networks for my research, and one point is somewhat escaping me. I realize that hidden layers are a somewhat necessary portion of this, however I am stuck on two points which my references aren't explaining to my satisfaction:
- What is the exact purpose of the hidden layer?
- How does one determine how many hidden layers to use?
From what I gather, it is to "model" real world functionality, but if possible I'd like a bit more of an explanation.