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TMVA::DNN::TLayer< Architecture_t > Member List

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

Backward(Matrix_t &gradients_backward, const Matrix_t &activations_backward, ERegularization r, Scalar_t weightDecay)TMVA::DNN::TLayer< Architecture_t >inline
fActivationGradientsTMVA::DNN::TLayer< Architecture_t >private
fBatchSizeTMVA::DNN::TLayer< Architecture_t >private
fBiasesTMVA::DNN::TLayer< Architecture_t >private
fBiasGradientsTMVA::DNN::TLayer< Architecture_t >private
fDerivativesTMVA::DNN::TLayer< Architecture_t >private
fDropoutProbabilityTMVA::DNN::TLayer< Architecture_t >private
fFTMVA::DNN::TLayer< Architecture_t >private
fInputWidthTMVA::DNN::TLayer< Architecture_t >private
Forward(Matrix_t &input, bool applyDropout=false)TMVA::DNN::TLayer< Architecture_t >inline
fOutputTMVA::DNN::TLayer< Architecture_t >private
fWeightGradientsTMVA::DNN::TLayer< Architecture_t >private
fWeightsTMVA::DNN::TLayer< Architecture_t >private
fWidthTMVA::DNN::TLayer< Architecture_t >private
GetActivationFunction() constTMVA::DNN::TLayer< Architecture_t >inline
GetActivationGradients()TMVA::DNN::TLayer< Architecture_t >inline
GetActivationGradients() constTMVA::DNN::TLayer< Architecture_t >inline
GetBatchSize() constTMVA::DNN::TLayer< Architecture_t >inline
GetBiases()TMVA::DNN::TLayer< Architecture_t >inline
GetBiases() constTMVA::DNN::TLayer< Architecture_t >inline
GetBiasGradients()TMVA::DNN::TLayer< Architecture_t >inline
GetBiasGradients() constTMVA::DNN::TLayer< Architecture_t >inline
GetDropoutProbability() constTMVA::DNN::TLayer< Architecture_t >inline
GetInputWidth() constTMVA::DNN::TLayer< Architecture_t >inline
GetOutput()TMVA::DNN::TLayer< Architecture_t >inline
GetOutput() constTMVA::DNN::TLayer< Architecture_t >inline
GetWeightGradients()TMVA::DNN::TLayer< Architecture_t >inline
GetWeightGradients() constTMVA::DNN::TLayer< Architecture_t >inline
GetWeights()TMVA::DNN::TLayer< Architecture_t >inline
GetWeights() constTMVA::DNN::TLayer< Architecture_t >inline
GetWidth() constTMVA::DNN::TLayer< Architecture_t >inline
Initialize(EInitialization m)TMVA::DNN::TLayer< Architecture_t >
Matrix_t typedefTMVA::DNN::TLayer< Architecture_t >
Print() constTMVA::DNN::TLayer< Architecture_t >
Scalar_t typedefTMVA::DNN::TLayer< Architecture_t >
SetDropoutProbability(Scalar_t p)TMVA::DNN::TLayer< Architecture_t >inline
Tensor_t typedefTMVA::DNN::TLayer< Architecture_t >
TLayer(size_t BatchSize, size_t InputWidth, size_t Width, EActivationFunction f, Scalar_t dropoutProbability)TMVA::DNN::TLayer< Architecture_t >
TLayer(const TLayer &)TMVA::DNN::TLayer< Architecture_t >