| fBeta1 | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protected |
| fBeta2 | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protected |
| fDeepNet | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | protected |
| fEpsilon | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protected |
| fFirstMomentBiases | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protected |
| fFirstMomentWeights | TMVA::DNN::TAdam< 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 |
| fSecondMomentBiases | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protected |
| fSecondMomentWeights | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protected |
| GetBeta1() const | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetBeta2() const | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetEpsilon() const | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetFirstMomentBiases() | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetFirstMomentBiasesAt(size_t i) | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetFirstMomentWeights() | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetFirstMomentWeightsAt(size_t i) | TMVA::DNN::TAdam< 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 |
| GetSecondMomentBiases() | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetSecondMomentBiasesAt(size_t i) | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetSecondMomentWeights() | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetSecondMomentWeightsAt(size_t i) | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | inline |
| IncrementGlobalStep() | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| Matrix_t typedef | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | |
| Scalar_t typedef | TMVA::DNN::TAdam< 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 > | |
| TAdam(DeepNet_t &deepNet, Scalar_t learningRate=0.001, Scalar_t beta1=0.9, Scalar_t beta2=0.999, Scalar_t epsilon=1e-7) | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | |
| UpdateBiases(size_t layerIndex, std::vector< Matrix_t > &biases, const std::vector< Matrix_t > &biasGradients) | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protectedvirtual |
| UpdateWeights(size_t layerIndex, std::vector< Matrix_t > &weights, const std::vector< Matrix_t > &weightGradients) | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | protectedvirtual |
| VOptimizer(Scalar_t learningRate, DeepNet_t &deepNet) | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | |
| ~TAdam()=default | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | |
| ~VOptimizer()=default | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | virtual |
