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clj-djl.training.loss


evaluateclj

(evaluate loss label pred)
source

hinge-lossclj

(hinge-loss)
(hinge-loss name)
(hinge-loss name margin weight)
source

l1-lossclj

(l1-loss)
(l1-loss name)
(l1-loss name weight)
source

l2clj

source

l2-lossclj

(l2-loss)
(l2-loss name)
(l2-loss name weight)
source

masked-softmax-cross-entropy-lossclj

(masked-softmax-cross-entropy-loss)
(masked-softmax-cross-entropy-loss name)
(masked-softmax-cross-entropy-loss name
                                   weight
                                   class-axis
                                   sparse-label
                                   from-logit)
source

sigmoid-binary-cross-entropy-lossclj

(sigmoid-binary-cross-entropy-loss)
(sigmoid-binary-cross-entropy-loss name)
(sigmoid-binary-cross-entropy-loss name weight from-sigmoid)
source

sotfmax-cross-entropy-lossclj

(sotfmax-cross-entropy-loss)
(sotfmax-cross-entropy-loss name)
(sotfmax-cross-entropy-loss name weight class-axis sparse-label from-logit)
source

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