GClasses::GBlockRecurrent Member List

This is the complete list of members for GClasses::GBlockRecurrent, including all inherited members.

backProp(GContext &ctx, const GVec &input, const GVec &output, const GVec &outBlame, GVec &inBlame) const override	GClasses::GBlockRecurrent	protectedvirtual
baseDomNode(GDom *pDoc) const	GClasses::GBlock	protected
basicTest()	GClasses::GBlock	protected
block_allpairings enum value	GClasses::GBlock
block_bentidentity enum value	GClasses::GBlock
block_convolutional1d enum value	GClasses::GBlock
block_convolutional2d enum value	GClasses::GBlock
block_featureselector enum value	GClasses::GBlock
block_fuzzy enum value	GClasses::GBlock
block_gaussian enum value	GClasses::GBlock
block_gru enum value	GClasses::GBlock
block_identity enum value	GClasses::GBlock
block_leakyrectifier enum value	GClasses::GBlock
block_linear enum value	GClasses::GBlock
block_logistic enum value	GClasses::GBlock
block_lstm enum value	GClasses::GBlock
block_maxpooling enum value	GClasses::GBlock
block_neuralnet enum value	GClasses::GBlock
block_rectifier enum value	GClasses::GBlock
block_restrictedboltzmannmachine enum value	GClasses::GBlock
block_scalarproduct enum value	GClasses::GBlock
block_scalarsum enum value	GClasses::GBlock
block_scaledtanh enum value	GClasses::GBlock
block_sigexp enum value	GClasses::GBlock
block_sine enum value	GClasses::GBlock
block_softexp enum value	GClasses::GBlock
block_softplus enum value	GClasses::GBlock
block_softroot enum value	GClasses::GBlock
block_sparse enum value	GClasses::GBlock
block_switch enum value	GClasses::GBlock
block_tanh enum value	GClasses::GBlock
BlockType enum name	GClasses::GBlock
copyWeights(const GBlock *pSource)=0	GClasses::GBlock	pure virtual
depth()=0	GClasses::GBlockRecurrent	pure virtual
deserialize(GDomNode *pNode)	GClasses::GBlock	static
diminishWeights(double amount, bool regularizeBiases)=0	GClasses::GBlock	pure virtual
elementWise() const	GClasses::GBlock	inlinevirtual
forwardProp(GContext &ctx, const GVec &input, GVec &output) const override	GClasses::GBlockRecurrent	protectedvirtual
GBlock()	GClasses::GBlock
GBlock(GDomNode *pNode)	GClasses::GBlock
GBlockRecurrent()	GClasses::GBlockRecurrent	inline
GBlockRecurrent(GDomNode *pNode)	GClasses::GBlockRecurrent	inline
inPos() const	GClasses::GBlock	inline
inputs() const =0	GClasses::GBlock	pure virtual
isRecurrent() const override	GClasses::GBlockRecurrent	inlinevirtual
m_inPos	GClasses::GBlock	protected
maxNorm(double min, double max)=0	GClasses::GBlock	pure virtual
name() const =0	GClasses::GBlock	pure virtual
newContext(GRand &rand)=0	GClasses::GBlockRecurrent	pure virtual
outputs() const =0	GClasses::GBlock	pure virtual
perturbWeights(GRand &rand, double deviation)=0	GClasses::GBlock	pure virtual
resetWeights(GRand &rand)=0	GClasses::GBlock	pure virtual
resize(size_t inputs, size_t outputs)=0	GClasses::GBlock	pure virtual
scaleWeights(double factor, bool scaleBiases)=0	GClasses::GBlock	pure virtual
serialize(GDom *pDoc) const =0	GClasses::GBlock	pure virtual
setInPos(size_t n)	GClasses::GBlock	inline
step(double learningRate, const GVec &gradient)=0	GClasses::GBlock	pure virtual
testEngine(GNeuralNet &nn)	GClasses::GBlockRecurrent	protectedstatic
to_str() const	GClasses::GBlock	virtual
type() const =0	GClasses::GBlock	pure virtual
updateGradient(GContext &ctx, const GVec &input, const GVec &outBlame, GVec &gradient) const override	GClasses::GBlockRecurrent	protectedvirtual
usesGPU()	GClasses::GBlock	inlinevirtual
vectorToWeights(const double *pVector)=0	GClasses::GBlock	pure virtual
weightCount() const =0	GClasses::GBlock	pure virtual
weightsToVector(double *pOutVector) const =0	GClasses::GBlock	pure virtual
~GBlock()	GClasses::GBlock	inlinevirtual
~GBlockRecurrent()	GClasses::GBlockRecurrent	inlinevirtual