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The larger network contains exponentially more subnetworks. 10x the size contains far more than 10x subnetworks (although it'd also take more than 10x as long to train).



Ah ok - so you are saying the explosion of subnetworks is higher than the explosion of training time - leading to a win.

In this case a positive benefit of combinatorial complexity.




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