2 CrossEntropyLoss(交叉熵损失函数) 3 NLLLoss(最大似然损失函数) 4 MSELoss(平方损失函数) 5 DiceLoss(用于计算两个样本点的相似度的距,主要应用,语义分割等) 6 Focal Loss 7 Chamfer Distance(CD、倒角距离) 8 Earth Mover’s Distance (EMD、推土机距离) 9 Density-aware Chamfer Distance (DCD) 10 sm...
test_allclose.py test_isclose.py test_nn_functional_cross_entropy.py test_nn_functional_mse_loss.py test_nn_functional_nll_loss.py test_nn_functional_smooth_l1_loss.py tools/prTemplate prTemplate_check.py 36 changes: 5 additions & 31 deletions 36 .github/PULL_REQUEST_TEMPLATE.md ...
The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch. - miaoshuyu/object-detection-usages
nn.SmoothL1Loss nn.SmoothL1Loss:计算分俩方面,当误差在 (-1,1) 上是平方损失,其他情况是L1 损失。计算公式如下: nn.MSELoss nn.MSELoss:计算公式是预测值和真实值之间的平方和的平均数。 nn.CrossEntropyLoss 交叉熵损失函数,常用于图像分类的神经网络中,计算方式如下: nn.NLLLoss 负对数似然损失函数,这个...
Accelerate BNNSLayerParametersLossSoftmaxCrossEntropy label_smooth DeprecatedInstance Propertylabel_smooth A value that defines the smoothing that the loss function applies to the labels. iOS 14.0–18.0DeprecatediPadOS 14.0–18.0DeprecatedMac Catalyst 14.0–18.0DeprecatedmacOS 11.0–15.0DeprecatedtvOS ...
nn.SmoothL1Loss nn.MSELoss nn.CrossEntropyLoss nn.NLLLoss 损失函数,是编译一个神经网络模型必须的两个参数之一,另一个是优化器。损失函数是指用于计算标签值和预测值之间差异的函数,常见的有多种损失函数可供选择,典型的有距离向量,绝对值向量等...
S BNNSLayerParametersLossSoftmaxCrossEntropyDeprecated P var label_smooth: FloatDeprecated P var reduction: BNNSLossReductionFunctionDeprecated P var o_desc: BNNSNDArrayDescriptorDeprecated P var i_desc: BNNSNDArrayDescriptorDeprecated P var function: BNNSLossFunctionDeprecated Instance Properties ...