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, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_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, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > > | protected |
fLearningRate | TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_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, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > > | inline |
GetLayerAt(size_t i) | TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > > | inline |
GetLayers() | TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > > | inline |
GetLearningRate() const | TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_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, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_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, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > > | inline |
Step() | TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_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, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > &deepNet) | TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > > | |
~TAdam()=default | TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > | |
~VOptimizer()=default | TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > > | virtual |