Jemila

pytorch交叉熵损失 BCELoss vs BCEWithLogitsLoss bceloss前面需要经过sigmoid BCEWithLogitsLoss就是把Sigmoid-BCELoss合成一步 input = torch.tensor(np.arange(3)/3).reshape(3,1) input2 = torch.nn.Sigmoid()(input) loss = torch.nn.BCELoss() target = torch.tensor([[0],[1],[1]]).

官网：https://github.com/facebookresearch/visdom 1、假设当前路径/work/ git clonehttps://github.com/facebookresearch/visdom.git-->/work/visdom 2、pip install -e /work/visdom 3、cd到visdom路径下，修改server.py &lt...