public class LossNegativeLogLikelihood extends LossMCXENT
In practice, this is implemented as an alias for LossMCXENT due to the mathematical equivalence
dimensions, extraArgs, inPlace, sameDiff, scalarValue| Constructor and Description |
|---|
LossNegativeLogLikelihood() |
LossNegativeLogLikelihood(INDArray weights) |
| Modifier and Type | Method and Description |
|---|---|
String |
name()
The opName of this function
|
String |
opName()
The name of the op
|
String |
toString() |
computeGradient, computeGradientAndScore, computeScore, computeScoreArray, doDiff, initFromOnnx, initFromTensorFlow, onnxName, opType, outputVariables, outputVariables, tensorflowNamearg, args, asProperties, attributeAdaptersForFunction, calculateOutputShape, configFieldName, diff, dup, equals, f, getValue, hashCode, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, opNum, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNamespublic LossNegativeLogLikelihood()
public LossNegativeLogLikelihood(INDArray weights)
public String name()
name in interface ILossFunctionname in class LossMCXENTpublic String opName()
DifferentialFunctionopName in class LossMCXENTpublic String toString()
toString in class LossMCXENTCopyright © 2018. All rights reserved.