Category: Python scattered knowledge summary

Detailed explanation of pytorch loss function 0

Detailed explanation of pytorch loss function

Hits: 0Table of contents nn.L1loss nn.CrossEntropyLoss nn.MSELoss nn.BCELoss nn.L1loss: Difference between the absolute values ​​of the two, then sum and averageloss(x,y)=1/n∑ \sum∑ |x_i-y_i| crite = torch.nn.L1Loss() loss = crite(output, target) nn.CrossEntropyLoss: Entropy: A representation...