34 yr old Project Manager Ira Hurn, hailing from Happy Valley-Goose Bay enjoys watching movies like Not Another Happy Ending and role-playing games. Took a trip to Humayun's Tomb and drives a Ferrari 275 GTB/C Speciale.
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In light of the lottery ticket hypothesis, one interpretation of this location of function is that there exist compact subnetworks within overparameterized networks that can train to the same accuracy. It is worth exploring no matter if SGD seeks out a winning ticket or an additional wide variety of low-dimension representation in the course of optimization. Studying the emergence of low-dimensional structures that are stable to pruning supplies a starting point for this direction.
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They never need to have to be explicitly flipped, it's not a "correction" in that sense. As long as you only have this kind of modules and regular non-residual ReLU layers, it will be equivalent. The net is not equivalent but if you include things like the random init in your analysis, then you can see there will be a bijection. If you put a sign-flipped totally conn layer and a softmax on this the outcome will be the identical.