| AddToStack(Network *network) | tesseract::Plumbing | virtual |
| Backward(bool debug, const NetworkIO &fwd_deltas, NetworkScratch *scratch, NetworkIO *back_deltas) | tesseract::Parallel | virtual |
| backward_win_ | tesseract::Network | protected |
| CacheXScaleFactor(int factor) | tesseract::Plumbing | 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::Parallel | virtual |
| forward_win_ | tesseract::Network | protected |
| GetLayer(const char *id) const | tesseract::Plumbing | |
| InitWeights(float range, TRand *randomizer) | tesseract::Plumbing | 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::Parallel | virtual |
| Parallel(const STRING &name, NetworkType type) | tesseract::Parallel | |
| 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 |
| SetEnableTraining(TrainingState state) | tesseract::Plumbing | virtual |
| SetNetworkFlags(uinT32 flags) | tesseract::Plumbing | virtual |
| SetRandomizer(TRand *randomizer) | tesseract::Plumbing | virtual |
| SetupNeedsBackprop(bool needs_backprop) | tesseract::Plumbing | virtual |
| spec() const | tesseract::Parallel | inlinevirtual |
| 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::Plumbing | virtual |
| ~Network() | tesseract::Network | virtual |
| ~Parallel() | tesseract::Parallel | virtual |
| ~Plumbing() | tesseract::Plumbing | virtual |