NeuralNet::Network Member List
This is the complete list of members for NeuralNet::Network, including all inherited members.
| accuracy (defined in NeuralNet::Model) | NeuralNet::Model | protected |
| addLayer(std::shared_ptr< Layer > &layer) | NeuralNet::Network | |
| cEpoch (defined in NeuralNet::Model) | NeuralNet::Model | protected |
| cereal::access (defined in NeuralNet::Network) | NeuralNet::Network | friend |
| from_file(const std::string &filename) override | NeuralNet::Network | inlinevirtual |
| getLayer(int index) const | NeuralNet::Network | |
| getNumLayers() const | NeuralNet::Network | |
| getOutputLayer() const | NeuralNet::Network | |
| getSlug() const | NeuralNet::Network | |
| load_from_file(const std::string &filename, T &model) | NeuralNet::Model | inlinestatic |
| loss (defined in NeuralNet::Model) | NeuralNet::Model | protected |
| Network() (defined in NeuralNet::Network) | NeuralNet::Network | |
| predict(std::vector< std::vector< double > > inputs) | NeuralNet::Network | |
| predict(std::vector< std::vector< std::vector< double > > > inputs) | NeuralNet::Network | |
| registerSignals() const (defined in NeuralNet::Model) | NeuralNet::Model | inlineprotected |
| save_to_file(const std::string &filename, T model) | NeuralNet::Model | inlinestatic |
| setLoss(LOSS loss) | NeuralNet::Network | |
| setup(const std::shared_ptr< Optimizer > &optimizer, LOSS loss=LOSS::QUADRATIC) | NeuralNet::Network | |
| testAccuracy (defined in NeuralNet::Model) | NeuralNet::Model | protected |
| testLoss (defined in NeuralNet::Model) | NeuralNet::Model | protected |
| to_file(const std::string &filename) override | NeuralNet::Network | inlinevirtual |
| train(std::vector< std::vector< double > > X, std::vector< double > y, int epochs=1, const std::vector< std::shared_ptr< Callback > > callbacks={}, bool progBar=true) | NeuralNet::Network | |
| train(std::vector< std::vector< std::vector< double > > > X, std::vector< double > y, int epochs=1, const std::vector< std::shared_ptr< Callback > > callbacks={}, bool progBar=true) | NeuralNet::Network | |
| train(TrainingData< std::vector< std::vector< double > >, std::vector< double > > trainingData, int epochs=1, const std::vector< std::shared_ptr< Callback > > callbacks={}, bool progBar=true) | NeuralNet::Network | |
| train(TrainingData< std::vector< std::vector< std::vector< double > > >, std::vector< double > > trainingData, int epochs=1, const std::vector< std::shared_ptr< Callback > > callbacks={}, bool progBar=true) | NeuralNet::Network | |
| ~Model()=default (defined in NeuralNet::Model) | NeuralNet::Model | virtual |
| ~Network() (defined in NeuralNet::Network) | NeuralNet::Network |
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