[qbit42]

Any reasonable statistical explanation of deep learning requires there to be some sort of low dimensional latent structure in the data. Otherwise, we would not have enough training data to learn good models, given how high the ambient dimensions are for most problems.

[wenc]

Deep learning specifically yes. It needs a manifold assumption. But not data in general which was what I was responding to.