SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization

Abstract: We propose a novel deep neural network that is both lightweight and effectively structured for model parallelization. Our network, which we name as SplitNet, automatically learns to split the netwo...
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