URL details: wandb.ai/wandb_fc/pytorch-image-models/reports/Explained-Characterizing-Signal-Propagation-to-Close-the-Performance-Gap-in-Unnormalized-ResNets--Vmlldzo2NDIzNTE
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Explained: Characterizing Signal Propagation to Close the Performance Gap in Unnormalized ResNets
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BatchNorm is a key component in almost all SOTA image classifiers, but it also introduces practical challenges. Is there a way to get similar performance for image classifiers without BatchNorm? Looks like the answer is "yes"!.
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2021-05-31
Explained: Characterizing Signal Propagation to Close the Perfor...