|
|
|
@@ -18,7 +18,7 @@ Loss. |
|
|
|
Cells of loss function. Loss function in machine learning is the target of the model. |
|
|
|
It shows how well the model works on a dataset and the optimization target which the optimizer is searching. |
|
|
|
""" |
|
|
|
|
|
|
|
#本文件为loss文件构建文件 |
|
|
|
from .loss import L1Loss, MSELoss, SmoothL1Loss, FocalLoss,\ |
|
|
|
SoftmaxCrossEntropyWithLogits, BCELoss, CosineEmbeddingLoss, \ |
|
|
|
SampledSoftmaxLoss, DiceLoss, BCEWithLogitsLoss, MultiClassDiceLoss,\ |
|
|
|
|