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 |
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 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, int num_samples) | tesseract::Plumbing | virtual |
XScaleFactor() const | tesseract::Series | virtual |
~Network() | tesseract::Network | virtual |
~Plumbing() | tesseract::Plumbing | virtual |
~Series() | tesseract::Series | virtual |