mlpack
mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType > Member List

This is the complete list of members for mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >, including all inherited members.

ElemType typedef (defined in mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Evaluate(const arma::Mat< ElemType > &parameters, const size_t i, const size_t batchSize)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
FreeEnergy(const arma::Mat< ElemType > &input)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
FreeEnergy(const arma::Mat< ElemType > &input)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Gibbs(const arma::Mat< ElemType > &input, arma::Mat< ElemType > &output, const size_t steps=SIZE_MAX)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Gradient(const arma::Mat< ElemType > &parameters, const size_t i, arma::Mat< ElemType > &gradient, const size_t batchSize)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
HiddenBias() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
HiddenBias()mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
HiddenMean(const InputType &input, DataType &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
HiddenMean(const InputType &input, DataType &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
HiddenSize() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
NetworkType typedef (defined in mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
NumFunctions() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
NumSteps() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
Parameters() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
Parameters()mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
Phase(const InputType &input, DataType &gradient)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Phase(const InputType &input, DataType &gradient)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
PoolSize() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
RBM(arma::Mat< ElemType > predictors, InitializationRuleType initializeRule, const size_t visibleSize, const size_t hiddenSize, const size_t batchSize=1, const size_t numSteps=1, const size_t negSteps=1, const size_t poolSize=2, const ElemType slabPenalty=8, const ElemType radius=1, const bool persistence=false)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Reset() (defined in mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Reset() (defined in mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SampleHidden(const arma::Mat< ElemType > &input, arma::Mat< ElemType > &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SampleHidden(const arma::Mat< ElemType > &input, arma::Mat< ElemType > &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SampleSlab(InputType &slabMean, DataType &slab)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SampleSpike(InputType &spikeMean, DataType &spike)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SampleVisible(arma::Mat< ElemType > &input, arma::Mat< ElemType > &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SampleVisible(arma::Mat< ElemType > &input, arma::Mat< ElemType > &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
serialize(Archive &ar, const uint32_t version)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Shuffle()mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SlabMean(const DataType &visible, DataType &spike, DataType &slabMean)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
SlabPenalty() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
SpikeBias() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
SpikeBias()mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
SpikeMean(const InputType &visible, DataType &spikeMean)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
Train(OptimizerType &optimizer, CallbackType &&... callbacks)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
VisibleBias() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
VisibleBias()mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
VisibleMean(InputType &input, DataType &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
VisibleMean(InputType &input, DataType &output)mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >
VisiblePenalty() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
VisiblePenalty()mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
VisibleSize() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
Weight() constmlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline
Weight()mlpack::ann::RBM< InitializationRuleType, DataType, PolicyType >inline