Classes | |
class | Array2 |
The Array2 class represents a 2-dimensional array that minimizes the number of new and delete calls. The T objects are stored in a contiguous array. More... | |
class | Array3 |
The Array3 class represents a 3-dimensional array that minimizes the number of new and delete calls. The T objects are stored in a contiguous array. More... | |
class | Array4 |
The Array4 class represents a 4-dimensional array that minimizes the number of new and delete calls. The T objects are stored in a contiguous array. More... | |
class | ComputeModel |
Core item ComputeModel. More... | |
class | EFStream |
class | Environment |
class | LexicoArray2 |
class | LexicoArray2< false, Real > |
class | LexicoArray2< true, Real > |
class | Listener |
class | Logger |
class | LogReporter |
class | LogToFile |
class | LogToMessageBox |
class | LogToOutputWindow |
class | LogToStdout |
class | LogToStringArray |
class | MatlabIO |
Matlab Mat file parser for C++ OpenCV. More... | |
class | MatlabIOContainer |
A container class for storing type agnostic variables. More... | |
class | MinHeap |
Minimum heap binary tree. More... | |
class | ReversalObject |
Reversal object. More... | |
class | ThreadSafeMap |
class | ThreadSafeQueue |
class | Timer |
struct | TypeName |
struct | TypeName< bool > |
struct | TypeName< char > |
struct | TypeName< cv::Mat > |
struct | TypeName< double > |
struct | TypeName< float > |
struct | TypeName< int16_t > |
struct | TypeName< int32_t > |
struct | TypeName< int64_t > |
struct | TypeName< int8_t > |
struct | TypeName< MatlabIOContainer > |
struct | TypeName< std::vector< cv::Mat > > |
struct | TypeName< std::vector< MatlabIOContainer > > |
struct | TypeName< std::vector< std::vector< MatlabIOContainer > > > |
struct | TypeName< uint16_t > |
struct | TypeName< uint32_t > |
struct | TypeName< uint64_t > |
struct | TypeName< uint8_t > |
struct | TypeName< void > |
class | Util |
A Utility class. More... | |
Typedefs | |
typedef std::vector< MatlabIOContainer > | vectorMatlabIOContainer |
typedef std::vector< std::vector< MatlabIOContainer > > | vector2DMatlabIOContainer |
Functions | |
template<typename T > | |
T | AtomicMin (std::atomic< T > &v0, T const &v1) |
Implementations of atomic minimum and atomic maximum computations. These are based on std::atomic_compare_exchange_strong. More... | |
template<typename T > | |
T | AtomicMax (std::atomic< T > &v0, T const &v1) |
template<typename Iterable , typename Iterator = decltype(std::begin(std::declval<Iterable>())), typename ReverseIterator = std::reverse_iterator<Iterator>> | |
ReversalObject< ReverseIterator > | reverse (Iterable &&range) |
void NE_IMPEXP | Memcpy (void *target, void const *source, size_t count) |
void NE_IMPEXP | Memcpy (wchar_t *target, wchar_t const *source, size_t count) |
File: NECore/DataTypes/NeArray2.h
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File: NECore/DataTypes/NeArray3.h
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File: NEApplications/Application/NeEnvironment.h
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File: NECore/DataTypes/NeLexicoArray2.h
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File: NECore/InputOutput/NeLogger.h
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File: NECore/InputOutput/NeLogToFile.h
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File: NECore/InputOutput/NeLogToMessageBox.h
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File: NECore/InputOutput/NeLogToStdout.h
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File: NECore/InputOutput/NeLogToStringArray.h
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File: Core/InputOutput/NeMatlabIO.h
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File: NECore/InputOutput/NeMatlabIOContainer.h
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File: NECore/DataTypes/NeMinHeap.h
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File: NECore/DataTypes/NeReversalObject.h
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File: NECore/Threading/NeThreadSafeMap.h
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File: NECore/Threading/ThreadSafeQueue.h
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File: MachineLearning/Optimization/Base/BaseGradientOptimizationMethod.h
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File: MachineLearning/Util/CommonUtil.h
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File: MachineLearning/Optimization/Unconstrained/FgAdaMaxSolver.h
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File: MachineLearning/Optimization/Unconstrained/FgAdamSolver.h
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File: MachineLearning/GPModels/Models/GPModels/FgAEPSparseDGPLVM.h
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File: MachineLearning/GPModels/Models/GPModels/FgAEPSparseDGPR.h
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File: MachineLearning/GPModels/SparseGPModels/AEP/FgAEPSparseGPLayer.h
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File: MachineLearning/Util/FgKMeans.h
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File: MachineLearning/Kernel/FgRBFKernel.h
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File: MachineLearning/Optimization/Unconstrained/Linesearch/FgArmijoBracketingLineSearch.h
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File: MachineLearning/Optimization/Unconstrained/Linesearch/Armijo.h
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File: MachineLearning/GPModels/Models/GPModels/FgAEPSparseGPR.h
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File: MachineLearning/Util/CVPlot/FgColor.h
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File: MachineLearning/Kernel/FgCompoundKernel.h
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File: MachineLearning/Models/GPModels/FgDeepGPBaseModel.h
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File: MachineLearning/Graph/Node/FgDiscreteFactorNode.h
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File: MachineLearning/Util/FgEigenvalueDecomposition.h
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File: MachineLearning/Util/CVPlot/FgFigure.h
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File: MachineLearning/GPModels/Models/Layers/EmissionLayers/FgGaussEmissionLayer.h
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File: MachineLearning/Util/FgGaussHermiteQuadrature.h
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File: MachineLearning/GPModels/Models/Layers/FgGaussLikelihoodLayer.h
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File: MachineLearning/GPModels/Models/Layers/GPLayers/FgGPBaseLayer.h
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File: MachineLearning/Models/GPModels/FgGPBaseModel.h
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File: MachineLearning/FactorGraph/Node/FgGPNode.h
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File: MachineLearning/Models/GPModels/FgGPStateSpaceBaseModel.h
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File: MachineLearning/Util/CVPlot/FgHighGUI.h
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File: MachineLearning/GPModels/Backconstraints/FgIBackconstraints.h
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File: MachineLearning/Graph/Node/FgIFactorNode.cpp
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File: MachineLearning/Kernel/FgIKernel.h
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File: MachineLearning/GPModels/Models/Layers/LikLayers/FgILikelihoodLayer.h
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File: MachineLearning/Graph/Message/FgIMessage.h
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File: MachineLearning/Embed/FgLLE.h
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File: MachineLearning/Graph/Node/FgIVariableNode.h
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File: MachineLearning/GPModels/Backconstraints/FgKernelBasedRegression.h
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File: MachineLearning/Util/FgKMeans.h
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File: MachineLearning/Optimization/Unconstrained/FgLBFGS.h
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File: MachineLearning/Optimization/Unconstrained/L-BFGS.h
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File: MachineLearning/Kernel/FgLinearAccelerationKernel.h
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File: MachineLearning/Kernel/FgLinearKernel.h
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File: MachineLearning/Util/FgMetrics.h
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File: MachineLearning/Optimization/Unconstrained/Linesearch/FgMoreThuenteLineSearch.h
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File: MachineLearning/Optimization/Unconstrained/FgNadamSolver.h
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File: MachineLearning/Embed/PCA.h
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File: MachineLearning/GPModels/SparseGPModels/PowerEP/FgPEPSparseGPLayer2nd.h
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File: MachineLearning/GPModels/Models/GPModels/FgPEPSparseGPLVM.h
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File: MachineLearning/GPModels/Models/GPModels/FgPEPSparseGPR.h
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File: MachineLearning/GPModels/Backconstraints/FgPeriodicTopologicalConstraint.h
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File: MachineLearning/GPModels/Models/Layers/FgProbitLikelihoodLayer.h
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File: MachineLearning/Kernel/FgRBFAccelerationKernel.h
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File: MachineLearning/Kernel/FgRBFKernel.h
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File: MachineLearning/Optimization/Constrained/ScaledConjugateGradient.h
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File: MachineLearning/Models/GPModels/FgSparseDeepGPBaseModel.h
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File: MachineLearning/Models/GPModels/FgSparseDeepGPLVMBaseModel.h
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File: MachineLearning/Models/GPModels/FgSparseDeepGPSSMBaseModel.h
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File: MachineLearning/GPModels/SparseGPModels/SparseGPBaseLayer.h
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File: MachineLearning/Models/GPModels/FgSparseGPBaseModel.h
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File: MachineLearning/Models/GPModels/FgSparseGPLVMBaseModel.h
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File: MachineLearning/Models/GPModels/FgSparseGPSSMBaseModel.h
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File: MachineLearning/Optimization/Unconstrained/Linesearch/FgStrongWolfeBacktrackingLineSearch.h
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File: MachineLearning/Kernel/FgStyleKernel.h
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File: MachineLearning/Kernel/FgTensorKernel.h
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File: MachineLearning/GPModels/SparseGPModels/VFE/FgVFESparseGPLayer.h
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File: MachineLearning/GPModels/Models/GPModels/FgVFESparseGPR.h
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File: MachineLearning/Kernel/FgWhiteKernel.h
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File: MachineLearning/Util/CVPlot/FgWindow.h
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File: MachineLearning/Optimization/Unconstrained/Linesearch/FgWolfeBacktrackingLineSearch.h
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File: MachineLearning/Optimization/Unconstrained/Linesearch/FgWolfeBracketingLineSearch.h
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File: MachineLearning/Embed/IEmbed.h
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File: MachineLearning/Optimization/IObjectiveFunction.h
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afaf::array File: MachineLearning/Optimization/Base/IIOptimizationMethod.h
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File: MachineLearning/Optimization/NonlinearObjectiveFunction.h
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typedef std::vector<MatlabIOContainer> NeuralEngine::vectorMatlabIOContainer |
Definition at line 21 of file NeMatlabIOContainer.h.
typedef std::vector<std::vector<MatlabIOContainer> > NeuralEngine::vector2DMatlabIOContainer |
Definition at line 22 of file NeMatlabIOContainer.h.
anonymous enum |
Definition at line 26 of file NeMatlabIO.h.
anonymous enum |
Definition at line 22 of file NeTypetraits.h.
anonymous enum |
Definition at line 40 of file NeTypetraits.h.
T NeuralEngine::AtomicMin | ( | std::atomic< T > & | v0, |
T const & | v1 | ||
) |
Implementations of atomic minimum and atomic maximum computations. These are based on std::atomic_compare_exchange_strong.
Definition at line 34 of file NeAtomicMinMax.h.
T NeuralEngine::AtomicMax | ( | std::atomic< T > & | v0, |
T const & | v1 | ||
) |
Definition at line 46 of file NeAtomicMinMax.h.
ReversalObject< ReverseIterator > NeuralEngine::reverse | ( | Iterable && | range | ) |
Definition at line 73 of file NeReversalObject.h.