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, tensorflowName
arg, args, asProperties, attributeAdaptersForFunction, calculateOutputShape, configFieldName, diff, dup, equals, f, getValue, hashCode, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, opNum, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames
public LossNegativeLogLikelihood()
public LossNegativeLogLikelihood(INDArray weights)
public String name()
name
in interface ILossFunction
name
in class LossMCXENT
public String opName()
DifferentialFunction
opName
in class LossMCXENT
public String toString()
toString
in class LossMCXENT
Copyright © 2018. All rights reserved.