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