When you store your knowledge and skills as parametric curves (as all deep learning models do), the only way you can generalize is via interpolation on the curve. The problem is that interpolated points *correlate* with the truth but have no *causal* link to the truth. Hence
Deep Learning Generalization: Interpolation Versus Causal Understanding
By
–
Leave a Reply