Backward(Matrix_t &gradients_backward, const Matrix_t &activations_backward, ERegularization r, Scalar_t weightDecay) | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
fActivationGradients | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fBatchSize | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fBiases | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fBiasGradients | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fDerivatives | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fDropoutProbability | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fF | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fInputWidth | TMVA::DNN::TSharedLayer< Architecture_t > | private |
Forward(Matrix_t &input, bool applyDropout=false) | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
fOutput | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fWeightGradients | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fWeights | TMVA::DNN::TSharedLayer< Architecture_t > | private |
fWidth | TMVA::DNN::TSharedLayer< Architecture_t > | private |
GetActivationFunction() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetActivationGradients() | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetActivationGradients() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetBatchSize() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetBiases() | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetBiases() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetBiasGradients() | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetBiasGradients() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetDropoutProbability() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetInputWidth() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetOutput() | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetOutput() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetWeightGradients() | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetWeightGradients() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetWeights() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
GetWidth() const | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
Matrix_t typedef | TMVA::DNN::TSharedLayer< Architecture_t > | |
Print() const | TMVA::DNN::TSharedLayer< Architecture_t > | |
Scalar_t typedef | TMVA::DNN::TSharedLayer< Architecture_t > | |
SetDropoutProbability(Scalar_t p) | TMVA::DNN::TSharedLayer< Architecture_t > | inline |
Tensor_t typedef | TMVA::DNN::TSharedLayer< Architecture_t > | |
TSharedLayer(size_t fBatchSize, TLayer< Architecture_t > &layer) | TMVA::DNN::TSharedLayer< Architecture_t > | |
TSharedLayer(const TSharedLayer &layer) | TMVA::DNN::TSharedLayer< Architecture_t > | |