| fDeepNet | TMVA::DNN::VOptimizer< 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 |
| 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 |
| IncrementGlobalStep() | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | inline |
| Matrix_t typedef | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | |
| Scalar_t typedef | TMVA::DNN::VOptimizer< 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 > | |
| UpdateBiases(size_t layerIndex, std::vector< Matrix_t > &biases, const std::vector< Matrix_t > &biasGradients)=0 | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | protectedpure virtual |
| UpdateWeights(size_t layerIndex, std::vector< Matrix_t > &weights, const std::vector< Matrix_t > &weightGradients)=0 | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | protectedpure virtual |
| VOptimizer(Scalar_t learningRate, DeepNet_t &deepNet) | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | |
| ~VOptimizer()=default | TMVA::DNN::VOptimizer< Architecture_t, Layer_t, DeepNet_t > | virtual |
