| Package | Description |
|---|---|
| org.nd4j.linalg.api.ops.impl.loss.bp |
| Modifier and Type | Class and Description |
|---|---|
class |
AbsoluteDifferenceLossBp
Absolute difference loss backprop
|
class |
CosineDistanceLossBp
Cosine distance loss
|
class |
HingeLossBp
Hinge loss
|
class |
HuberLossBp
Hinge loss
|
class |
LogLossBp
Binary log loss, or cross entropy loss:
-1/numExamples * sum_i (labels[i] * log(predictions[i] + epsilon) + (1-labels[i]) * log(1-predictions[i] + epsilon)) |
class |
LogPoissonLossBp
Log Poisson loss backprop
|
class |
MeanPairwiseSquaredErrorLossBp
Mean Pairwise Squared Error Loss Backprop
|
class |
MeanSquaredErrorLossBp
Mean squared error loss
|
class |
SigmoidCrossEntropyLossBp
Sigmoid cross entropy loss with logits
|
class |
SoftmaxCrossEntropyLossBp
Softmax cross entropy loss
|
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