OpenNN
Open-source neural networks library
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Class Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
_
A
Activation
(
opennn
)
AdaptiveMomentEstimation
(
opennn
)
Add
(
opennn
)
Addition
(
opennn
)
ApproximationNetwork
(
opennn
)
Attention
(
opennn
)
AugmentationSettings
(
opennn
)
AutoAssociationNetwork
(
opennn
)
B
Backend
(
opennn
)
Backend
(
opennn::opennn
)
BackPropagation
(
opennn
)
BackPropagationLM
(
opennn
)
BackwardEdge
(
opennn
)
Batch
(
opennn
)
BatchNorm
(
opennn
)
TestingAnalysis::BinaryClassificationRates
(
opennn
)
Bound
(
opennn
)
Bounding
(
opennn
)
BoxPlot
(
opennn
)
Buffer
(
opennn
)
Buffer
(
opennn::opennn
)
C
ClassificationNetwork
(
opennn
)
Combination
(
opennn
)
ResponseOptimization::Condition
(
opennn
)
Configuration
(
opennn
)
Configuration
(
opennn::opennn
)
Convolution
(
opennn
)
Convolutional
(
opennn
)
ConvolutionalRelu
(
opennn
)
Correlation
(
opennn
)
cudnnTensorStruct
cudnnTensorStruct
(
opennn
)
D
Dataset
(
opennn
)
Dense
(
opennn
)
DenseRelu
(
opennn
)
Descriptives
(
opennn
)
ResponseOptimization::Domain
(
opennn
)
Dropout
(
opennn
)
E
Embedding
(
opennn
)
EmbeddingLookup
(
opennn
)
EnumMap
(
opennn
)
EpochStats
(
opennn
)
Loss::EvaluationResult
(
opennn
)
F
Flat
(
opennn
)
Flatten
(
opennn
)
ForecastingNetwork
(
opennn
)
ForwardPropagation
(
opennn
)
ForwardPropagation
(
opennn::opennn
)
G
GeneticAlgorithm
(
opennn
)
TestingAnalysis::GoodnessOfFitAnalysis
(
opennn
)
GrowingInputs
(
opennn
)
GrowingNeurons
(
opennn
)
H
Histogram
(
opennn
)
I
ImageClassificationNetwork
(
opennn
)
ImageDataset
(
opennn
)
InputsSelection
(
opennn
)
InputsSelectionResults
(
opennn
)
J
Json
(
opennn
)
Json
(
opennn::opennn
)
JsonDocument
(
opennn
)
JsonDocument
(
opennn::opennn
)
JsonWriter
(
opennn
)
JsonWriter
(
opennn::opennn
)
K
KMeans
(
opennn
)
TestingAnalysis::KolmogorovSmirnovResults
(
opennn
)
L
LanguageDataset
(
opennn
)
Layer
(
opennn
)
LayerNorm
(
opennn
)
LevenbergMarquardtAlgorithm
(
opennn
)
Loss
(
opennn
)
M
ModelExpression
(
opennn
)
ModelSelection
(
opennn
)
MultiHeadAttention
(
opennn
)
MultiHeadProjection
(
opennn
)
N
NeuralNetwork
(
opennn
)
NeuronSelection
(
opennn
)
NeuronsSelectionResults
(
opennn
)
Normalization3d
(
opennn
)
O
ResponseOptimization::Objectives
(
opennn
)
Operator
(
opennn
)
Optimizer
(
opennn
)
OptimizerData
(
opennn
)
P
Pool
(
opennn
)
Pool3d
(
opennn
)
Pooling
(
opennn
)
Pooling3d
(
opennn
)
Q
QuasiNewtonMethod
(
opennn
)
R
Recurrent
(
opennn
)
Registry
(
opennn
)
Configuration::Resolved
(
opennn
)
Configuration::Resolved
(
opennn::opennn
)
ResponseOptimization
(
opennn
)
TestingAnalysis::RocAnalysis
(
opennn
)
S
Scale
(
opennn
)
Scaling
(
opennn
)
ScopedTimer
(
opennn::profiler
)
Shape
(
opennn::opennn
)
Shape
(
opennn
)
SimpleResNet
(
opennn
)
Stats
(
opennn::profiler
)
StochasticGradientDescent
(
opennn
)
T
TabularDataset
(
opennn
)
TensorView
(
opennn::opennn
)
TensorView
(
opennn
)
TestingAnalysis
(
opennn
)
TextClassificationNetwork
(
opennn
)
ThreadSafeQueue
(
opennn
)
TimeSeriesDataset
(
opennn
)
TrainingResults
(
opennn
)
TrainingStrategy
(
opennn
)
Transformer
(
opennn
)
TypeInfo
(
opennn::opennn
)
TypeInfo
(
opennn
)
TypeInfo< Type::BF16 >
(
opennn::opennn
)
TypeInfo< Type::BF16 >
(
opennn
)
TypeInfo< Type::FP32 >
(
opennn::opennn
)
TypeInfo< Type::FP32 >
(
opennn
)
TypeInfo< Type::INT8 >
(
opennn::opennn
)
TypeInfo< Type::INT8 >
(
opennn
)
U
Unscale
(
opennn
)
Unscaling
(
opennn
)
V
Variable
(
opennn
)
VGG16
(
opennn
)
_
__half
__half
(
opennn
)
__nv_bfloat16
__nv_bfloat16
(
opennn
)
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