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

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

fDeepNetTMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t >protected
fEpsilonTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >protected
fGlobalStepTMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t >protected
fLearningRateTMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t >protected
fPastSquaredBiasGradientsTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >protected
fPastSquaredWeightGradientsTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >protected
fWorkBiasTensorTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >protected
fWorkWeightTensorTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >protected
GetEpsilon() constTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >inline
GetGlobalStep() constTMVA::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() constTMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t >inline
GetPastSquaredBiasGradients()TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >inline
GetPastSquaredBiasGradientsAt(size_t i)TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >inline
GetPastSquaredWeightGradients()TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >inline
GetPastSquaredWeightGradientsAt(size_t i)TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >inline
IncrementGlobalStep()TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t >inline
Matrix_t typedefTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >
Scalar_t typedefTMVA::DNN::TAdagrad< 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 >
TAdagrad(DeepNet_t &deepNet, Scalar_t learningRate=0.01, Scalar_t epsilon=1e-8)TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >
UpdateBiases(size_t layerIndex, std::vector< Matrix_t > &biases, const std::vector< Matrix_t > &biasGradients)TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >protectedvirtual
UpdateWeights(size_t layerIndex, std::vector< Matrix_t > &weights, const std::vector< Matrix_t > &weightGradients)TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >protectedvirtual
VOptimizer(Scalar_t learningRate, DeepNet_t &deepNet)TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t >
~TAdagrad()=defaultTMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >
~VOptimizer()=defaultTMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t >virtual