GClasses::GNeuralNet Member List

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

add(GBlock *pBlock)	GClasses::GNeuralNet
add(GBlock *a, GBlock *b)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d, GBlock *e)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d, GBlock *e, GBlock *f)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d, GBlock *e, GBlock *f, GBlock *g)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d, GBlock *e, GBlock *f, GBlock *g, GBlock *h)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d, GBlock *e, GBlock *f, GBlock *g, GBlock *h, GBlock *i)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d, GBlock *e, GBlock *f, GBlock *g, GBlock *h, GBlock *i, GBlock *j)	GClasses::GNeuralNet	inline
add(GBlock *a, GBlock *b, GBlock *c, GBlock *d, GBlock *e, GBlock *f, GBlock *g, GBlock *h, GBlock *i, GBlock *j, GBlock *k)	GClasses::GNeuralNet	inline
align(const GNeuralNet &that)	GClasses::GNeuralNet
backProp(GContext &ctx, const GVec &input, const GVec &output, const GVec &outBlame, GVec &inBlame) const override	GClasses::GNeuralNet	virtual
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
concat(GBlock *pBlock, size_t inPos=0)	GClasses::GNeuralNet
copyPrediction(GVec &out)	GClasses::GNeuralNet
copyStructure(const GNeuralNet *pOther)	GClasses::GNeuralNet
copyWeights(const GBlock *pOther) override	GClasses::GNeuralNet	virtual
deserialize(GDomNode *pNode)	GClasses::GBlock	static
diminishWeights(double amount, bool regularizeBiases=true) override	GClasses::GNeuralNet	virtual
elementWise() const	GClasses::GBlock	inlinevirtual
forwardProp(GContext &ctx, const GVec &input, GVec &output) const override	GClasses::GNeuralNet	virtual
forwardProp_training(GContext &ctx, const GVec &input, GVec &output) const	GClasses::GNeuralNet
GBlock()	GClasses::GBlock
GBlock(GDomNode *pNode)	GClasses::GBlock
GNeuralNet()	GClasses::GNeuralNet
GNeuralNet(GDomNode *pNode)	GClasses::GNeuralNet
init(size_t inputs, size_t outputs, GRand &rand)	GClasses::GNeuralNet
inPos() const	GClasses::GBlock	inline
inputs() const override	GClasses::GNeuralNet	inlinevirtual
invertNode(size_t layer, size_t node)	GClasses::GNeuralNet
isRecurrent() const	GClasses::GBlock	inlinevirtual
layer(size_t i)	GClasses::GNeuralNet	inline
layer(size_t i) const	GClasses::GNeuralNet	inline
layerCount() const	GClasses::GNeuralNet	inline
m_inPos	GClasses::GBlock	protected
m_layers	GClasses::GNeuralNet	protected
m_weightCount	GClasses::GNeuralNet	protected
maxNorm(double min, double max) override	GClasses::GNeuralNet	virtual
measureLoss(const GMatrix &features, const GMatrix &labels, double *pOutSAE=nullptr)	GClasses::GNeuralNet
name() const override	GClasses::GNeuralNet	inlinevirtual
newContext(GRand &rand) const	GClasses::GNeuralNet
outputLayer()	GClasses::GNeuralNet	inline
outputLayer() const	GClasses::GNeuralNet	inline
outputs() const override	GClasses::GNeuralNet	inlinevirtual
perturbWeights(GRand &rand, double deviation) override	GClasses::GNeuralNet	virtual
printWeights(std::ostream &stream)	GClasses::GNeuralNet
recount()	GClasses::GNeuralNet
resetWeights(GRand &rand) override	GClasses::GNeuralNet	virtual
resize(size_t inputs, size_t outputs) override	GClasses::GNeuralNet	virtual
scaleWeights(double factor, bool scaleBiases=true) override	GClasses::GNeuralNet	virtual
serialize(GDom *pDoc) const override	GClasses::GNeuralNet	virtual
setInPos(size_t n)	GClasses::GBlock	inline
step(double learningRate, const GVec &gradient) override	GClasses::GNeuralNet	virtual
swapNodes(size_t layer, size_t a, size_t b)	GClasses::GNeuralNet
to_str() const override	GClasses::GNeuralNet	virtual
to_str(const std::string &line_prefix) const	GClasses::GNeuralNet
type() const override	GClasses::GNeuralNet	inlinevirtual
updateGradient(GContext &ctx, const GVec &x, const GVec &outBlame, GVec &inBlame) const override	GClasses::GNeuralNet	virtual
usesGPU()	GClasses::GBlock	inlinevirtual
vectorToWeights(const double *pWeights) override	GClasses::GNeuralNet	virtual
weightCount() const override	GClasses::GNeuralNet	virtual
weightsToVector(double *pOutWeights) const override	GClasses::GNeuralNet	virtual
~GBlock()	GClasses::GBlock	inlinevirtual
~GNeuralNet()	GClasses::GNeuralNet	virtual