OpenNN
2.2
Open Neural Networks Library
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Classes
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Class List
Class Index
Class Hierarchy
Class Members
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level
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3
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N
OpenNN
C
BoundingLayer
C
ConditionsLayer
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C
ConjugateGradient
C
ConjugateGradientResults
C
CrossEntropyError
C
DataSet
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C
EvolutionaryAlgorithm
C
EvolutionaryAlgorithmResults
C
FinalSolutionsError
▼
C
GradientDescent
C
GradientDescentResults
C
Histogram
C
IndependentParameters
C
IndependentParametersError
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C
Inputs
C
Item
▼
C
Instances
C
Item
C
InverseSumSquaredError
▼
C
LevenbergMarquardtAlgorithm
C
LevenbergMarquardtAlgorithmResults
C
LinearRegressionParameters
C
LogisticRegressionParameters
C
MathematicalModel
C
Matrix
C
MeanSquaredError
C
MinkowskiError
▼
C
MissingValues
C
Item
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C
ModelSelection
C
ModelSelectionResults
C
MultilayerPerceptron
C
NeuralNetwork
C
NeuralParametersNorm
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C
NewtonMethod
C
NewtonMethodResults
C
NormalizedSquaredError
C
NumericalDifferentiation
C
NumericalIntegration
C
OrdinaryDifferentialEquations
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C
Outputs
C
Item
C
OutputsIntegrals
C
Perceptron
C
PerceptronLayer
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C
PerformanceFunctional
C
FirstOrderperformance
C
SecondOrderperformance
C
ZeroOrderperformance
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C
PerformanceTerm
C
FirstOrderPerformance
C
FirstOrderTerms
C
SecondOrderPerformance
C
ZerothOrderPerformance
C
ZerothOrderTerms
C
PlugIn
C
ProbabilisticLayer
▼
C
QuasiNewtonMethod
C
QuasiNewtonMethodResults
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C
RandomSearch
C
RandomSearchResults
C
RootMeanSquaredError
C
ScalingLayer
C
SolutionsError
C
Statistics
C
SumSquaredError
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C
TestingAnalysis
C
LinearRegressionResults
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C
TrainingAlgorithm
C
TrainingAlgorithmResults
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C
TrainingRateAlgorithm
C
Triplet
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C
TrainingStrategy
C
Results
C
UnscalingLayer
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C
Variables
C
Item
C
Vector
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1.8.9.1
1.8.9.1
