bce_dice_loss: Binary Cross Entropy and Dice Loss
In neuroimaginador/dl4ni: Deep Learning Flows for Neuroimaging
Description
Usage
Arguments
Value
Description
This function computes the Binary Cross Entropy and Dice Loss between
a true and a predicted classifications.
Usage
1
bce_dice_loss(y_true, y_pred)
Arguments
y_true
(vector) True classes
y_pred
(vector) Predicted classes
Value
The Dice coefficient.
neuroimaginador/dl4ni documentation built on May 3, 2019, 5:47 p.m.
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Description Usage Arguments Value
Description
This function computes the Binary Cross Entropy and Dice Loss between a true and a predicted classifications.
Usage
1 | bce_dice_loss(y_true, y_pred)
|
Arguments
y_true |
(vector) True classes |
y_pred |
(vector) Predicted classes |
Value
The Dice coefficient.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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