Definition at line 44 of file ConvLayer.h.

Public Member Functions
	TConvParams (size_t _batchSize, size_t _inputDepth, size_t _inputHeight, size_t _inputWidth, size_t _numberFilters, size_t _filterHeight, size_t _filterWidth, size_t _strideRows, size_t _strideCols, size_t _paddingHeight, size_t _paddingWidth)

Public Attributes
size_t	batchSize
	Batch size used for training and evaluation.

size_t	filterHeight
	The height of the filter.

size_t	filterWidth
	The width of the filter.

size_t	inputDepth
	The depth of the previous layer or input.

size_t	inputHeight
	The height of the previous layer or input.

size_t	inputWidth
	The width of the previous layer or input.

size_t	numberFilters
	The number of the filters, which is equal to the output's depth.

size_t	paddingHeight
	The number of zero layers added top and bottom of the input.

size_t	paddingWidth
	The number of zero layers left and right of the input.

size_t	strideCols
	The number of column pixels to slid the filter each step.

size_t	strideRows
	The number of row pixels to slid the filter each step.

#include <TMVA/DNN/CNN/ConvLayer.h>

Constructor & Destructor Documentation

◆ TConvParams()

TMVA::DNN::CNN::TConvParams::TConvParams	(	size_t	_batchSize,
		size_t	_inputDepth,
		size_t	_inputHeight,
		size_t	_inputWidth,
		size_t	_numberFilters,
		size_t	_filterHeight,
		size_t	_filterWidth,
		size_t	_strideRows,
		size_t	_strideCols,
		size_t	_paddingHeight,
		size_t	_paddingWidth
	)

inline

Definition at line 62 of file ConvLayer.h.

Member Data Documentation

◆ batchSize

size_t TMVA::DNN::CNN::TConvParams::batchSize

Batch size used for training and evaluation.

Definition at line 47 of file ConvLayer.h.

◆ filterHeight

size_t TMVA::DNN::CNN::TConvParams::filterHeight

The height of the filter.

Definition at line 54 of file ConvLayer.h.

◆ filterWidth

size_t TMVA::DNN::CNN::TConvParams::filterWidth

The width of the filter.

Definition at line 55 of file ConvLayer.h.

◆ inputDepth

size_t TMVA::DNN::CNN::TConvParams::inputDepth

The depth of the previous layer or input.

Definition at line 49 of file ConvLayer.h.

◆ inputHeight

size_t TMVA::DNN::CNN::TConvParams::inputHeight

The height of the previous layer or input.

Definition at line 50 of file ConvLayer.h.

◆ inputWidth

size_t TMVA::DNN::CNN::TConvParams::inputWidth

The width of the previous layer or input.

Definition at line 51 of file ConvLayer.h.

◆ numberFilters

size_t TMVA::DNN::CNN::TConvParams::numberFilters

The number of the filters, which is equal to the output's depth.

Definition at line 53 of file ConvLayer.h.

◆ paddingHeight

size_t TMVA::DNN::CNN::TConvParams::paddingHeight

The number of zero layers added top and bottom of the input.

Definition at line 59 of file ConvLayer.h.

◆ paddingWidth

size_t TMVA::DNN::CNN::TConvParams::paddingWidth

The number of zero layers left and right of the input.

Definition at line 60 of file ConvLayer.h.

◆ strideCols

size_t TMVA::DNN::CNN::TConvParams::strideCols

The number of column pixels to slid the filter each step.

Definition at line 58 of file ConvLayer.h.

◆ strideRows

size_t TMVA::DNN::CNN::TConvParams::strideRows

The number of row pixels to slid the filter each step.

Definition at line 57 of file ConvLayer.h.

Collaboration diagram for TMVA::DNN::CNN::TConvParams:

[legend]

The documentation for this struct was generated from the following file:

tmva/tmva/inc/TMVA/DNN/CNN/ConvLayer.h

Public Member Functions

Public Attributes