Package | Description |
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org.deeplearning4j.nn.conf.layers.objdetect |
Modifier and Type | Method and Description |
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Yolo2OutputLayer.Builder |
Yolo2OutputLayer.Builder.boundingBoxPriors(INDArray boundingBoxes)
Bounding box priors dimensions [width, height].
|
Yolo2OutputLayer.Builder |
Yolo2OutputLayer.Builder.lambbaNoObj(double lambdaNoObj)
Loss function coefficient for the "no object confidence" components of the loss function.
|
Yolo2OutputLayer.Builder |
Yolo2OutputLayer.Builder.lambdaCoord(double lambdaCoord)
Loss function coefficient for position and size/scale components of the loss function.
|
Yolo2OutputLayer.Builder |
Yolo2OutputLayer.Builder.lossClassPredictions(ILossFunction lossClassPredictions)
Loss function for the class predictions - defaults to L2 loss (i.e., sum of squared errors, as per the
paper), however Loss MCXENT could also be used (which is more common for classification).
|
Yolo2OutputLayer.Builder |
Yolo2OutputLayer.Builder.lossPositionScale(ILossFunction lossPositionScale)
Loss function for position/scale component of the loss function
|
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