, including all inherited members.
actf | jymlp::Mlp | [protected] |
addErrorAndGradient(const vector< double > &input, const vector< double > &target, double coefficient, double *sqerror, double *error, vector< double > *mseGrad, vector< double > *meeGrad) const | jymlp::Mlp | |
backwardEucSq(double coeff, double *destE, double *destG, double *workspace, ErrT errortype) const | jymlp::Mlp | |
copyOutputVec(double *workspace) const | jymlp::Mlp | |
errorVec(const vector< double > &target, double *workspace) const | jymlp::Mlp | |
forward(const vector< double > &input, double *workspace) const | jymlp::Mlp | |
fromStream(istream &ins) | jymlp::Mlp | |
getNHiddenNeurons() const | jymlp::Mlp | |
getNLayers() const | jymlp::Mlp | [inline] |
getNNeurons(int layer) const | jymlp::Mlp | [inline] |
getNumConnectedInputs() const | jymlp::Mlp | |
getNumInputs() const | jymlp::Mlp | [inline] |
getNumNonzeroWeights() const | jymlp::Mlp | |
getNumOutputs() const | jymlp::Mlp | [inline] |
getNWeights() const | jymlp::Mlp | [inline] |
getWorkspaceSize() | jymlp::Mlp | |
initRnd(double a, SynapticRandomizer &sr) | jymlp::Mlp | [protected] |
Mlp() | jymlp::Mlp | |
Mlp(const vector< size_t > &inneur) | jymlp::Mlp | |
Mlp(const vector< size_t > &inneur, const vector< ActF > &iactf, const vector< double > &iweights) | jymlp::Mlp | |
Mlp(const Mlp &other) | jymlp::Mlp | |
Mlp(const vector< size_t > &inneur, const vector< ActF > &iactf, SynapticRandomizer &sr) | jymlp::Mlp | |
nneur | jymlp::Mlp | [protected] |
outputVecAsClassIndex(const double *workspace) const | jymlp::Mlp | |
prettyPrint() | jymlp::Mlp | |
prettyPrintGradient(const vector< double > &grad) const | jymlp::Mlp | |
prettyPrintLayerActivations() | jymlp::Mlp | |
prettyPrintLayerSizes() | jymlp::Mlp | |
prettyPrintWeights() const | jymlp::Mlp | |
toStream(ostream &o) | jymlp::Mlp | |
update(double coeff, const double *wupd) | jymlp::Mlp | |
weightDecayAbs(double coeff, double *destE, double *destG, bool excludeOutputBias) const | jymlp::Mlp | |
weightDecaySq(double coeff, double *destE, double *destG, bool excludeOutputBias) const | jymlp::Mlp | |
weights | jymlp::Mlp | [protected] |