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목록torch.nn.BatchNorm2d() (1)
BAN2ARU
[Python/ Pytorch] torch.nn.BatchNorm2d()
https://pytorch.org/docs/stable/generated/torch.nn.BatchNorm2d.html를 기반으로 작성하였음. CLASS torch.nn.BatchNorm2d( num_features, eps=1e-05, momentum=0.1, affine=True, track_runing_stats=True, device=None, dtype=None ) Batch Normalization $$ y=\frac{x-E[x]}{\sqrt{Var[x]+\epsilon}} *\gamma +\beta $$ 각 batch 별로 평균(mean)과 분산(variance)를 이용해 정규화하는 것을 의미함 파라미터 num_features : input size $(N,C,H,W)$에서 $C$ ($N$..
Language/Python
2022. 4. 21. 16:11