| ActivationFunction enum name | nnp::NeuralNetwork | |
| AF_COS enum value | nnp::NeuralNetwork | |
| AF_EXP enum value | nnp::NeuralNetwork | |
| AF_GAUSSIAN enum value | nnp::NeuralNetwork | |
| AF_HARMONIC enum value | nnp::NeuralNetwork | |
| AF_IDENTITY enum value | nnp::NeuralNetwork | |
| AF_LOGISTIC enum value | nnp::NeuralNetwork | |
| AF_RELU enum value | nnp::NeuralNetwork | |
| AF_REVLOGISTIC enum value | nnp::NeuralNetwork | |
| AF_SOFTPLUS enum value | nnp::NeuralNetwork | |
| AF_TANH enum value | nnp::NeuralNetwork | |
| AF_UNSET enum value | nnp::NeuralNetwork | |
| allocateLayer(Layer &layer, int numNeuronsPrevLayer, int numNeurons, ActivationFunction activationFunction) | nnp::NeuralNetwork | private |
| biasOffset | nnp::NeuralNetwork | private |
| biasOnlyOffset | nnp::NeuralNetwork | private |
| calculateD2EdGdc(int index, double const *const &dEdb, double *d2EdGdc) const | nnp::NeuralNetwork | private |
| calculateDEdb(double *dEdb) const | nnp::NeuralNetwork | private |
| calculateDEdc(double *dEdc) const | nnp::NeuralNetwork | |
| calculateDEdG(double *dEdG) const | nnp::NeuralNetwork | |
| calculateDFdc(double *dFdc, double const *const &dGdxyz) const | nnp::NeuralNetwork | |
| calculateDxdG(int index) const | nnp::NeuralNetwork | private |
| getConnections(double *connections) const | nnp::NeuralNetwork | |
| getMemoryUsage() | nnp::NeuralNetwork | |
| getNeuronStatistics(long *count, double *min, double *max, double *sum, double *sum2) const | nnp::NeuralNetwork | |
| getNumBiases() const | nnp::NeuralNetwork | |
| getNumConnections() const | nnp::NeuralNetwork | |
| getNumNeurons() const | nnp::NeuralNetwork | |
| getNumWeights() const | nnp::NeuralNetwork | |
| getOutput(double *output) const | nnp::NeuralNetwork | |
| info() const | nnp::NeuralNetwork | |
| initializeConnectionsRandomUniform(unsigned int seed) | nnp::NeuralNetwork | |
| inputLayer | nnp::NeuralNetwork | private |
| layers | nnp::NeuralNetwork | private |
| ModificationScheme enum name | nnp::NeuralNetwork | |
| modifyConnections(ModificationScheme modificationScheme) | nnp::NeuralNetwork | |
| modifyConnections(ModificationScheme modificationScheme, double parameter1, double parameter2) | nnp::NeuralNetwork | |
| MS_FANIN enum value | nnp::NeuralNetwork | |
| MS_GLOROTBENGIO enum value | nnp::NeuralNetwork | |
| MS_NGUYENWIDROW enum value | nnp::NeuralNetwork | |
| MS_PRECONDITIONOUTPUT enum value | nnp::NeuralNetwork | |
| MS_ZEROBIAS enum value | nnp::NeuralNetwork | |
| MS_ZEROOUTPUTWEIGHTS enum value | nnp::NeuralNetwork | |
| NeuralNetwork(int numLayers, int const *const &numNeuronsPerLayer, ActivationFunction const *const &activationFunctionsPerLayer) | nnp::NeuralNetwork | |
| normalizeNeurons | nnp::NeuralNetwork | private |
| numBiases | nnp::NeuralNetwork | private |
| numConnections | nnp::NeuralNetwork | private |
| numHiddenLayers | nnp::NeuralNetwork | private |
| numLayers | nnp::NeuralNetwork | private |
| numWeights | nnp::NeuralNetwork | private |
| outputLayer | nnp::NeuralNetwork | private |
| propagate() | nnp::NeuralNetwork | |
| propagateLayer(Layer &layer, Layer &layerPrev) | nnp::NeuralNetwork | private |
| resetNeuronStatistics() | nnp::NeuralNetwork | |
| setConnections(double const *const &connections) | nnp::NeuralNetwork | |
| setInput(double const *const &input) const | nnp::NeuralNetwork | |
| setInput(std::size_t const index, double const value) const | nnp::NeuralNetwork | |
| setNormalizeNeurons(bool normalizeNeurons) | nnp::NeuralNetwork | |
| weightOffset | nnp::NeuralNetwork | private |
| writeConnections(std::ofstream &file) const | nnp::NeuralNetwork | |
| ~NeuralNetwork() | nnp::NeuralNetwork | |
1.9.4