| fMomentum | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | protected |
| fPastBiasGradients | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | protected |
| fPastWeightGradients | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | protected |
| GetMomentum() const | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastBiasGradients() | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastBiasGradientsAt(size_t i) | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastWeightGradients() | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | inline |
| GetPastWeightGradientsAt(size_t i) | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | inline |
| Matrix_t typedef | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | |
| Scalar_t typedef | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | |
| TSGD(Scalar_t learningRate, DeepNet_t &deepNet, Scalar_t momentum) | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | |
| UpdateBiases(size_t layerIndex, std::vector< Matrix_t > &biases, const std::vector< Matrix_t > &biasGradients) | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | protected |
| UpdateWeights(size_t layerIndex, std::vector< Matrix_t > &weights, const std::vector< Matrix_t > &weightGradients) | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | protected |
| ~TSGD()=default | TMVA::DNN::TSGD< Architecture_t, Layer_t, DeepNet_t > | |
