nnp::NeuralNetwork Member List

This is the complete list of members for nnp::NeuralNetwork, including all inherited members.

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