tesseract::Series Member List

This is the complete list of members for tesseract::Series, including all inherited members.

AddToStack(Network *network)	tesseract::Plumbing	virtual
AppendSeries(Network *src)	tesseract::Series
Backward(bool debug, const NetworkIO &fwd_deltas, NetworkScratch *scratch, NetworkIO *back_deltas)	tesseract::Series	virtual
backward_win_	tesseract::Network	protected
CacheXScaleFactor(int factor)	tesseract::Series	virtual
ClearWindow(bool tess_coords, const char *window_name, int width, int height, ScrollView **window)	tesseract::Network	static
ConvertToInt()	tesseract::Plumbing	virtual
CountAlternators(const Network &other, double *same, double *changed) const	tesseract::Plumbing	virtual
CreateFromFile(TFile *fp)	tesseract::Network	static
DebugWeights()	tesseract::Plumbing	virtual
DeSerialize(TFile *fp)	tesseract::Plumbing	virtual
DisplayBackward(const NetworkIO &matrix)	tesseract::Network
DisplayForward(const NetworkIO &matrix)	tesseract::Network
DisplayImage(Pix *pix, ScrollView *window)	tesseract::Network	static
EnumerateLayers(const STRING *prefix, GenericVector< STRING > *layers) const	tesseract::Plumbing
Forward(bool debug, const NetworkIO &input, const TransposedArray *input_transpose, NetworkScratch *scratch, NetworkIO *output)	tesseract::Series	virtual
forward_win_	tesseract::Network	protected
GetLayer(const char *id) const	tesseract::Plumbing
InitWeights(float range, TRand *randomizer)	tesseract::Series	virtual
InputShape() const	tesseract::Plumbing	inlinevirtual
IsPlumbingType() const	tesseract::Plumbing	inlinevirtual
IsTraining() const	tesseract::Network	inline
kTypeNames	tesseract::Network	protectedstatic
LayerLearningRate(const char *id) const	tesseract::Plumbing	inline
LayerLearningRatePtr(const char *id) const	tesseract::Plumbing
learning_rates_	tesseract::Plumbing	protected
name() const	tesseract::Network	inline
name_	tesseract::Network	protected
needs_to_backprop() const	tesseract::Network	inline
needs_to_backprop_	tesseract::Network	protected
Network()	tesseract::Network
Network(NetworkType type, const STRING &name, int ni, int no)	tesseract::Network
network_flags_	tesseract::Network	protected
ni_	tesseract::Network	protected
no_	tesseract::Network	protected
num_weights() const	tesseract::Network	inline
num_weights_	tesseract::Network	protected
NumInputs() const	tesseract::Network	inline
NumOutputs() const	tesseract::Network	inline
OutputShape(const StaticShape &input_shape) const	tesseract::Series	virtual
Plumbing(const STRING &name)	tesseract::Plumbing	explicit
Random(double range)	tesseract::Network	protected
randomizer_	tesseract::Network	protected
RemapOutputs(int old_no, const std::vector< int > &code_map) override	tesseract::Series	virtual
ScaleLayerLearningRate(const char *id, double factor)	tesseract::Plumbing	inline
Serialize(TFile *fp) const	tesseract::Plumbing	virtual
Series(const STRING &name)	tesseract::Series	explicit
SetEnableTraining(TrainingState state)	tesseract::Plumbing	virtual
SetNetworkFlags(uint32_t flags)	tesseract::Plumbing	virtual
SetRandomizer(TRand *randomizer)	tesseract::Plumbing	virtual
SetupNeedsBackprop(bool needs_backprop)	tesseract::Series	virtual
spec() const	tesseract::Series	inlinevirtual
SplitAt(int last_start, Series **start, Series **end)	tesseract::Series
stack() const	tesseract::Plumbing	inline
stack_	tesseract::Plumbing	protected
TestFlag(NetworkFlags flag) const	tesseract::Network	inline
training_	tesseract::Network	protected
type() const	tesseract::Network	inline
type_	tesseract::Network	protected
Update(float learning_rate, float momentum, float adam_beta, int num_samples) override	tesseract::Plumbing	virtual
XScaleFactor() const	tesseract::Series	virtual
~Network()	tesseract::Network	virtual
~Plumbing()	tesseract::Plumbing	virtual
~Series()	tesseract::Series	virtual