| fDeepNet | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | protected |
| fEpsilon | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fGlobalStep | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | protected |
| fLearningRate | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | protected |
| fPastSquaredBiasGradients | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fPastSquaredBiasUpdates | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fPastSquaredWeightGradients | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fPastSquaredWeightUpdates | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fRho | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fWorkBiasTensor1 | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fWorkBiasTensor2 | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fWorkWeightTensor1 | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| fWorkWeightTensor2 | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protected |
| GetEpsilon() const | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetGlobalStep() const | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetLayerAt(size_t i) | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetLayers() | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetLearningRate() const | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredBiasGradients() | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredBiasGradientsAt(size_t i) | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredBiasUpdates() | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredBiasUpdatesAt(size_t i) | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredWeightGradients() | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredWeightGradientsAt(size_t i) | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredWeightUpdates() | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastSquaredWeightUpdatesAt(size_t i) | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetRho() const | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | inline |
| IncrementGlobalStep() | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| Matrix_t typedef | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | |
| Scalar_t typedef | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | |
| SetLearningRate(size_t learningRate) | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| Step() | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | |
| TAdadelta(DeepNet_t &deepNet, Scalar_t learningRate=1.0, Scalar_t rho=0.95, Scalar_t epsilon=1e-8) | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | |
| UpdateBiases(size_t layerIndex, std::vector< Matrix_t > &biases, const std::vector< Matrix_t > &biasGradients) | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protectedvirtual |
| UpdateWeights(size_t layerIndex, std::vector< Matrix_t > &weights, const std::vector< Matrix_t > &weightGradients) | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | protectedvirtual |
| VOptimizer(Scalar_t learningRate, DeepNet_t &deepNet) | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | |
| ~TAdadelta()=default | TMVA::DNN::TAdadelta< Architecture_t, Layer_t, DeepNet_t > | |
| ~VOptimizer()=default | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | virtual |
