shark::TiedAutoencoder< HiddenNeuron, OutputNeuron > Member List

This is the complete list of members for shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >, including all inherited members.

AbstractModel()shark::AbstractModel< RealVector, RealVector >inline
BatchInputType typedefshark::AbstractModel< RealVector, RealVector >
BatchOutputType typedefshark::AbstractModel< RealVector, RealVector >
BOOST_SERIALIZATION_SPLIT_MEMBER()shark::ISerializable
createState() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
decode(Data< RealVector > const &patterns) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
decode(LabeledData< RealVector, Label > const &data) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
decoderMatrix() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
decoderMatrix()shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
encode(Data< RealVector > const &patterns) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
encode(LabeledData< RealVector, Label > const &data) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
encoderMatrix() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
encoderMatrix()shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
eval(RealMatrix const &patterns, RealMatrix &output, State &state) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
AbstractModel< RealVector, RealVector >::eval(BatchInputType const &patterns, BatchOutputType &outputs) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
AbstractModel< RealVector, RealVector >::eval(BatchInputType const &patterns, BatchOutputType &outputs, State &state) const=0shark::AbstractModel< RealVector, RealVector >pure virtual
AbstractModel< RealVector, RealVector >::eval(InputType const &pattern, OutputType &output) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
evalLayer(std::size_t layer, RealMatrix const &patterns, RealMatrix &outputs) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
evalLayer(std::size_t layer, Data< RealVector > const &patterns) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
Feature enum nameshark::AbstractModel< RealVector, RealVector >
FeatureNotAvailableException typedefshark::AbstractModel< RealVector, RealVector >
Features typedefshark::AbstractModel< RealVector, RealVector >
features() constshark::AbstractModel< RealVector, RealVector >inline
HAS_FIRST_INPUT_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
HAS_FIRST_PARAMETER_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
HAS_SECOND_INPUT_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
HAS_SECOND_PARAMETER_DERIVATIVE enum valueshark::AbstractModel< RealVector, RealVector >
hasFirstInputDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hasFirstParameterDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hasSecondInputDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hasSecondParameterDerivative() constshark::AbstractModel< RealVector, RealVector >inline
hiddenActivationFunction() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
hiddenActivationFunction()shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
hiddenBias() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
hiddenBias()shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
hiddenResponses(State const &state) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
inputSize() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
InputType typedefshark::AbstractModel< RealVector, RealVector >
IS_SEQUENTIAL enum valueshark::AbstractModel< RealVector, RealVector >
isSequential() constshark::AbstractModel< RealVector, RealVector >inline
load(InArchive &archive, unsigned int version)shark::ISerializableinline
m_featuresshark::AbstractModel< RealVector, RealVector >protected
name() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
numberOfHiddenNeurons() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
numberOfParameters() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
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
outputActivationFunction() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
outputActivationFunction()shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
outputBias() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
outputBias()shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
outputSize() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
OutputType typedefshark::AbstractModel< RealVector, RealVector >
parameterVector() constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
read(InArchive &archive)shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
save(OutArchive &archive, unsigned int version) constshark::ISerializableinline
setParameterVector(RealVector const &newParameters)shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
setStructure(std::size_t in, std::size_t hidden)shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
TiedAutoencoder()shark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
updateFeatures()shark::AbstractModel< RealVector, RealVector >inlinevirtual
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &coefficients, State const &state, RealVector &parameterDerivative, BatchInputType &inputDerivative) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
weightedInputDerivative(BatchInputType const &patterns, RealMatrix const &coefficients, State const &state, BatchInputType &inputDerivative) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
AbstractModel< RealVector, RealVector >::weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
AbstractModel< RealVector, RealVector >::weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, typename Batch< RealMatrix >::type const &errorHessian, State const &state, RealMatrix &derivative, Batch< RealMatrix >::type &hessian) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
weightedParameterDerivative(BatchInputType const &patterns, RealMatrix const &coefficients, State const &state, RealVector &gradient) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inline
AbstractModel< RealVector, RealVector >::weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, RealVector &derivative) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
AbstractModel< RealVector, RealVector >::weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, Batch< RealMatrix >::type const &errorHessian, State const &state, RealVector &derivative, RealMatrix &hessian) constshark::AbstractModel< RealVector, RealVector >inlinevirtual
write(OutArchive &archive) constshark::TiedAutoencoder< HiddenNeuron, OutputNeuron >inlinevirtual
~AbstractModel()shark::AbstractModel< RealVector, RealVector >inlinevirtual
~INameable()shark::INameableinlinevirtual
~IParameterizable()shark::IParameterizableinlinevirtual
~ISerializable()shark::ISerializableinlinevirtual