mlpack
mlpack::ann::BatchNorm< InputDataType, OutputDataType > Member List

This is the complete list of members for mlpack::ann::BatchNorm< InputDataType, OutputDataType >, including all inherited members.

Average() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Backward(const arma::Mat< eT > &input, const arma::Mat< eT > &gy, arma::Mat< eT > &g)mlpack::ann::BatchNorm< InputDataType, OutputDataType >
BatchNorm()mlpack::ann::BatchNorm< InputDataType, OutputDataType >
BatchNorm(const size_t size, const double eps=1e-8, const bool average=true, const double momentum=0.1)mlpack::ann::BatchNorm< InputDataType, OutputDataType >
Delta() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Delta()mlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Deterministic() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Deterministic()mlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Epsilon() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Forward(const arma::Mat< eT > &input, arma::Mat< eT > &output)mlpack::ann::BatchNorm< InputDataType, OutputDataType >
Gradient(const arma::Mat< eT > &input, const arma::Mat< eT > &error, arma::Mat< eT > &gradient)mlpack::ann::BatchNorm< InputDataType, OutputDataType >
Gradient() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Gradient()mlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
InputSize() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Momentum() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
OutputParameter() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
OutputParameter()mlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Parameters() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Parameters()mlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
Reset()mlpack::ann::BatchNorm< InputDataType, OutputDataType >
serialize(Archive &ar, const uint32_t)mlpack::ann::BatchNorm< InputDataType, OutputDataType >
TrainingMean() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
TrainingMean()mlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
TrainingVariance() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
TrainingVariance()mlpack::ann::BatchNorm< InputDataType, OutputDataType >inline
WeightSize() constmlpack::ann::BatchNorm< InputDataType, OutputDataType >inline