MPSCnnLoss ClassReference Feedback DefinitionNamespace: MetalPerformanceShaders Assembly: Xamarin.iOS.dll C# Copy [Foundation.Register("MPSCNNLoss", true)] [ObjCRuntime.Introduced(ObjCRuntime.PlatformName.TvOS, 11, 3, ObjCRuntime.PlatformArchitecture.All, null)] [ObjCRuntime.Introduced(ObjC...
AI代码解释 importtorch.nnasnnimporttorch.nn.functionalasFclassSoftDiceLoss(nn.Module):def__init__(self,weight=None,size_average=True):super(SoftDiceLoss,self).__init__()defforward(self,logits,targets):num=targets.size(0)// 为了防止除0的发生smooth=1probs=F.sigmoid(logits)m1=probs.view(n...
SquaredLoss ClassReference Feedback DefinitionNamespace: Microsoft.ML.Trainers Assembly: Microsoft.ML.Data.dll Package: Microsoft.ML v3.0.1 The Squared Loss, commonly used in regression tasks.C# კოპირება public sealed class SquaredLoss : Microsoft.ML.Trainers.ILossFunction...
AI代码解释 pred=np.array([[0.8,2.0,2.0]])nClass=pred.shape[1]target=np.array([0])deflabelEncoder(y):tmp=np.zeros(shape=(y.shape[0],nClass))foriinrange(y.shape[0]):tmp[i][y[i]]=1returntmp defcrossEntropy(pred,target):target=labelEncoder(target)pred=softmax(pred)H=-np.sum(ta...
classGHM_Loss(nn.Module): def__init__(self, bins, alpha): super(GHM_Loss, self).__init__() self._bins = bins self._alpha = alpha self._last_bin_count =None def_g2bin(self, g): # split to n bins returntorch.floor(g * (self._bins ...
并支持修改类的状态或者行为的话，肯定会用到反射，而反射靠的就是Class类。
loss_fn=nn.BCELoss()classMLP(nn.Module):'''自己定义网络的层,要继承nn.Module'''def__init__(self):super().__init__()self.Lin=nn.Linear(in_features=2,out_features=1)self.Sig=nn.Sigmoid()defforward(self,x):'''定义前向过程,输出shape为(batch,)'''logit=self.Lin(x)y_pred=self....
SHANGHAI, Jan. 22 (Xinhua) -- Ruan Weiguo, a physical education teacher of the East China University of Political Science and Law in Shanghai, decided to launch a weight loss class for the upcoming semester in March. Students attending the class can earn two academic credits, and at the ...
为了证明focal loss 比传统技术更有效,让我们建立一个简单地使用类别权重 class_weight训练的基准模型,告诉模型“更多地关注”来自代表性不足的欺诈样本。 基准模型 基准模型的准确率达到了99.87%,略好于通过采取“简单路线”去猜测所有情况都为“正常”。 我们还绘制了混淆矩阵来展示模型在测试集上的分类性能。你可以...
The default LossFun value is "classiferror" (misclassification rate in decimal). L = loss(ens,tbl,Y) uses the predictor data in table tbl and the true class labels in Y. L = loss(ens,X,Y) uses the predictor data in matrix X and the true class labels in Y. example L = loss(_...