shark::RBM< VisibleLayerT, HiddenLayerT, randomT > Member List

This is the complete list of members for shark::RBM< VisibleLayerT, HiddenLayerT, randomT >, including all inherited members.

AbstractModel()shark::AbstractModel< RealVector, RealVector >inline
BatchInputType typedefshark::RBM< VisibleLayerT, HiddenLayerT, randomT >
BatchOutputType typedefshark::RBM< VisibleLayerT, HiddenLayerT, randomT >
BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
createState() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
energy() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
EnergyType typedefshark::RBM< VisibleLayerT, HiddenLayerT, randomT >
eval(BatchInputType const &patterns, BatchOutputType &outputs) constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
eval(BatchInputType const &patterns, BatchOutputType &outputs, State &state) constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
AbstractModel< RealVector, RealVector >::eval(InputType const &pattern, OutputType &output) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
evaluationType(bool forward, bool evalMean)shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
Feature enum nameshark::AbstractModel< RealVector, RealVector >
FeatureNotAvailableException typedefshark::AbstractModel< RealVector, RealVector >
Features typedefshark::AbstractModel< RealVector, RealVector >
features() constshark::AbstractModel< RealVector, RealVector >inline
GradientType typedefshark::RBM< VisibleLayerT, HiddenLayerT, randomT >
HAS_FIRST_INPUT_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
HAS_FIRST_PARAMETER_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
hasFirstInputDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hasFirstParameterDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hiddenNeurons() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
hiddenNeurons()shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
HiddenType typedefshark::RBM< VisibleLayerT, HiddenLayerT, randomT >
inputHidden(RealMatrix &inputs, RealMatrix const &visibleStates) constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
inputShape() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
InputType typedefshark::AbstractModel< RealVector, RealVector >
inputVisible(RealMatrix &inputs, RealMatrix const &hiddenStates) constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
load(InArchive &archive, unsigned int version)shark::ISerializableinline
m_featuresshark::AbstractModel< RealVector, RealVector >protected
ModelBaseType typedefshark::AbstractModel< RealVector, RealVector >
name() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
numberOfHN() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
numberOfParameters() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
numberOfVN() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
operator()(Data< InputType > const &patterns) constshark::AbstractModel< RealVector, RealVector >inline
operator()(InputType const &pattern) constshark::AbstractModel< RealVector, RealVector >inline
operator()(BatchInputType const &patterns) constshark::AbstractModel< RealVector, RealVector >inline
outputShape() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
OutputType typedefshark::AbstractModel< RealVector, RealVector >
parameterVector() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
ParameterVectorType typedefshark::IParameterizable< RealVector >
randomType typedefshark::RBM< VisibleLayerT, HiddenLayerT, randomT >
RBM(randomType &rng)shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
read(InArchive &archive)shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
rng()shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setParameterVector(const RealVector &newParameters)shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
setStructure(std::size_t visibleNeurons, std::size_t hiddenNeurons)shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
updateFeatures()shark::AbstractModel< RealVector, RealVector >inlinevirtual
visibleNeurons()shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
visibleNeurons() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
VisibleType typedefshark::RBM< VisibleLayerT, HiddenLayerT, randomT >
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector &parameterDerivative, BatchInputType &inputDerivative) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector &derivative) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
weightMatrix()shark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
weightMatrix() constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inline
write(OutArchive &archive) constshark::RBM< VisibleLayerT, HiddenLayerT, randomT >inlinevirtual
~AbstractModel()shark::AbstractModel< RealVector, RealVector >inlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizable< RealVector >inlinevirtual
~ISerializable()shark::ISerializableinlinevirtual