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
fActivationGradients	TMVA::DNN::TLayer< Architecture_t >	private
fBatchSize	TMVA::DNN::TLayer< Architecture_t >	private
fBiases	TMVA::DNN::TLayer< Architecture_t >	private
fBiasGradients	TMVA::DNN::TLayer< Architecture_t >	private
fDerivatives	TMVA::DNN::TLayer< Architecture_t >	private
fDropoutProbability	TMVA::DNN::TLayer< Architecture_t >	private
fF	TMVA::DNN::TLayer< Architecture_t >	private
fInputWidth	TMVA::DNN::TLayer< Architecture_t >	private
Forward(Matrix_t &input, bool applyDropout=false)	TMVA::DNN::TLayer< Architecture_t >	inline
fOutput	TMVA::DNN::TLayer< Architecture_t >	private
fWeightGradients	TMVA::DNN::TLayer< Architecture_t >	private
fWeights	TMVA::DNN::TLayer< Architecture_t >	private
fWidth	TMVA::DNN::TLayer< Architecture_t >	private
GetActivationFunction() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetActivationGradients()	TMVA::DNN::TLayer< Architecture_t >	inline
GetActivationGradients() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetBatchSize() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetBiases()	TMVA::DNN::TLayer< Architecture_t >	inline
GetBiases() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetBiasGradients()	TMVA::DNN::TLayer< Architecture_t >	inline
GetBiasGradients() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetDropoutProbability() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetInputWidth() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetOutput()	TMVA::DNN::TLayer< Architecture_t >	inline
GetOutput() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetWeightGradients()	TMVA::DNN::TLayer< Architecture_t >	inline
GetWeightGradients() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetWeights()	TMVA::DNN::TLayer< Architecture_t >	inline
GetWeights() const	TMVA::DNN::TLayer< Architecture_t >	inline
GetWidth() const	TMVA::DNN::TLayer< Architecture_t >	inline
Initialize(EInitialization m)	TMVA::DNN::TLayer< Architecture_t >
Matrix_t typedef	TMVA::DNN::TLayer< Architecture_t >
Print() const	TMVA::DNN::TLayer< Architecture_t >
Scalar_t typedef	TMVA::DNN::TLayer< Architecture_t >
SetDropoutProbability(Scalar_t p)	TMVA::DNN::TLayer< Architecture_t >	inline
Tensor_t typedef	TMVA::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 >