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TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t > Member List

This is the complete list of members for TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >, including all inherited members.

fBeta1TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >protected
fBeta2TMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >protected
fDeepNetTMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >protected
fEpsilonTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >protected
fFirstMomentBiasesTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >protected
fFirstMomentWeightsTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >protected
fGlobalStepTMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >protected
fLearningRateTMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >protected
fSecondMomentBiasesTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >protected
fSecondMomentWeightsTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >protected
GetBeta1() constTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >inline
GetBeta2() constTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >inline
GetEpsilon() constTMVA::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() constTMVA::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() constTMVA::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 typedefTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >
Scalar_t typedefTMVA::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()=defaultTMVA::DNN::TAdam< Architecture_t, Layer_t, DeepNet_t >
~VOptimizer()=defaultTMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >virtual