TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t > Member List

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

fDeepNet	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	protected
fEpsilon	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	protected
fGlobalStep	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	protected
fLearningRate	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	protected
fPastSquaredBiasGradients	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	protected
fPastSquaredWeightGradients	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	protected
GetEpsilon() const	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	inline
GetGlobalStep() const	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	inline
GetLayerAt(size_t i)	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	inline
GetLayers()	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	inline
GetLearningRate() const	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	inline
GetPastSquaredBiasGradients()	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	inline
GetPastSquaredBiasGradientsAt(size_t i)	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	inline
GetPastSquaredWeightGradients()	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	inline
GetPastSquaredWeightGradientsAt(size_t i)	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	inline
IncrementGlobalStep()	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	inline
Matrix_t typedef	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >
Scalar_t typedef	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >
SetLearningRate(size_t learningRate)	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	inline
Step()	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >
TAdagrad(DeepNet_t &deepNet, Scalar_t learningRate=0.01, Scalar_t epsilon=1e-8)	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >
UpdateBiases(size_t layerIndex, std::vector< Matrix_t > &biases, const std::vector< Matrix_t > &biasGradients)	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	protectedvirtual
UpdateWeights(size_t layerIndex, std::vector< Matrix_t > &weights, const std::vector< Matrix_t > &weightGradients)	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >	protectedvirtual
VOptimizer(Scalar_t learningRate, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > &deepNet)	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >
~TAdagrad()=default	TMVA::DNN::TAdagrad< Architecture_t, Layer_t, DeepNet_t >
~VOptimizer()=default	TMVA::DNN::VOptimizer< Architecture_t, VGeneralLayer< Architecture_t >, TDeepNet< Architecture_t, VGeneralLayer< Architecture_t > > >	virtual