BCELoss

Pytorch Analysis of loss function BCELoss And BCEWithLogitsLoss

1. Let's start with the conclusion nn.BCEWithLogitsLoss be equal to nn.BCELoss+nn.Sigmoid. It is mainly used for binary classification , Multi labe...
2020-05-24 10:05 views 72

【Pytorch】BCELoss and BCEWithLogitsLoss Detailed explanation of loss function

stay Pytorch in ,BCELoss and BCEWithLogitsLoss It is a set of commonly used binary cross entropy loss functions , It is often used in binary class...
2020-02-18 20:34 views 821

pytorch study -torch.nn.BCELoss（） and torch.nn.BCEWithLogitsLoss（）

1. BCELossclass torch.nn.BCELoss(weight=None, size_average=True, reduce=True) effect ： calculation target and output The binary cross entropy betwe...
2019-02-27 20:27 views 121

Pytorch Detailed explanation BCELoss and BCEWithLogitsLoss

BCELoss When images are classified by multiple tags , If 3 Pictures 3 class , One will be output 3*3 Matrix of . First use Sigmoid Get these values...
2018-12-23 13:34 views 183
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