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LeCun is promoting “differentiable computing” as a new monicker to replace DL and NN. I like it
"Differentiable programming" is a lot better, but to be honest that seems a lot more general than what we do in deep learning. Deep learning is a very very small subset of what differentiable programming could be
I think that generality is intentional. "Differentiable programming" is a aspirational goal in which the building blocks used in deep learning have been modularized in a way that allows their flexible use in more general programming contexts.
NNs are one heuristic way of "solving" (well, approximating, no, not even that) a certain optimization problem. No need to (and actually misleading) to give this a name like XYZ programming, because it is very, very far from that generality.
What about “differential computing”? The functions involved are differentiable, not the computing; the computing part deals with differentials. Also, it sounds as a good companion for “differential calculus”.
"Differential Programming" sounds a bit drab. I'm curious to know what you would call 'Neutral Networks' @fchollet
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