Specifies the parameters for the ReLULayer More...

Inheritance diagram for MyCaffe.param.ReLUParameter:

Public Member Functions
	ReLUParameter ()
	Constructor for the parameter. More...

string	useCaffeReason ()
	Returns the reason that Caffe version was used instead of NVIDIA's cuDnn. More...

bool	useCudnn ()
	Queries whether or not to use NVIDIA's cuDnn. More...

override object	Load (System.IO.BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. More...

override void	Copy (LayerParameterBase src)
	Copy on parameter to another. More...

override LayerParameterBase	Clone ()
	Creates a new copy of this instance of the parameter. More...

override RawProto	ToProto (string strName)
	Convert the parameter into a RawProto. More...

Public Member Functions inherited from MyCaffe.param.EngineParameter
	EngineParameter ()
	Constructor for the parameter. More...

override object	Load (System.IO.BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. More...

Public Member Functions inherited from MyCaffe.param.LayerParameterBase
	LayerParameterBase ()
	Constructor for the parameter. More...

virtual string	PrepareRunModelInputs ()
	This method gives derivative classes a chance specify model inputs required by the run model. More...

virtual void	PrepareRunModel (LayerParameter p)
	This method gives derivative classes a chance to prepare the layer for a run-model. More...

void	Save (BinaryWriter bw)
	Save this parameter to a binary writer. More...

abstract object	Load (BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. More...

Public Member Functions inherited from MyCaffe.basecode.BaseParameter
	BaseParameter ()
	Constructor for the parameter. More...

virtual bool	Compare (BaseParameter p)
	Compare this parameter to another parameter. More...

Static Public Member Functions
static new ReLUParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.param.EngineParameter
static EngineParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.basecode.BaseParameter
static double	ParseDouble (string strVal)
	Parse double values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static bool	TryParse (string strVal, out double df)
	Parse double values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static float	ParseFloat (string strVal)
	Parse float values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static bool	TryParse (string strVal, out float f)
	Parse doufloatble values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

Properties
double	negative_slope `[getset]`
	Specifies the negative slope. Allow non-zero slope for negative inputs to speed up optimization. More...

Properties inherited from MyCaffe.param.EngineParameter
Engine	engine `[getset]`
	Specifies the Engine in use. More...

Additional Inherited Members
Public Types inherited from MyCaffe.param.EngineParameter
enum	Engine { DEFAULT = 0 , CAFFE = 1 , CUDNN = 2 }
	Defines the type of engine to use. More...

Public Types inherited from MyCaffe.param.LayerParameterBase
enum	LABEL_TYPE { NONE , SINGLE , MULTIPLE , ONLY_ONE }
	Defines the label type. More...

Detailed Description

Specifies the parameters for the ReLULayer

See also: Empirical Evaluation of Rectified Activations in Convolutional Network by Bing Xu, Naiyan Wang, Tianqi Chen, and Mu Li, 2015.; Revise Saturated Activation Functions by Bing Xu, Ruitong Huang, and Mu Li, 2016.; Rectifier Nonlinearities Improve Neural Network Acoustic Models by Andrew L. Maas, Awni Y. Hannun, and Andrew Y. Ng, 2013.

Definition at line 20 of file ReLUParameter.cs.

Constructor & Destructor Documentation

◆ ReLUParameter()

MyCaffe.param.ReLUParameter.ReLUParameter ( )

Constructor for the parameter.

Definition at line 25 of file ReLUParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.ReLUParameter.Clone ( )

virtual

Creates a new copy of this instance of the parameter.

Returns: A new instance of this parameter is returned.

Reimplemented from MyCaffe.param.EngineParameter.

Definition at line 93 of file ReLUParameter.cs.

◆ Copy()

override void MyCaffe.param.ReLUParameter.Copy ( LayerParameterBase src )

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Reimplemented from MyCaffe.param.EngineParameter.

Definition at line 81 of file ReLUParameter.cs.

◆ FromProto()

static new ReLUParameter MyCaffe.param.ReLUParameter.FromProto ( RawProto rp )

static

Parses the parameter from a RawProto.

Parameters

rp	Specifies the RawProto to parse.

Returns: A new instance of the parameter is returned.

Definition at line 115 of file ReLUParameter.cs.

◆ Load()

override object MyCaffe.param.ReLUParameter.Load	(	System.IO.BinaryReader	br,
		bool	bNewInstance = `true`
	)

Load the parameter from a binary reader.

Parameters

br	Specifies the binary reader.
bNewInstance	When true a new instance is created (the default), otherwise the existing instance is loaded from the binary reader.

Returns: Returns an instance of the parameter.

Definition at line 69 of file ReLUParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.ReLUParameter.ToProto ( string strName )

virtual

Convert the parameter into a RawProto.

Parameters

strName Specifies the name to associate with the RawProto.

Returns: The new RawProto is returned.

Reimplemented from MyCaffe.param.EngineParameter.

Definition at line 101 of file ReLUParameter.cs.

◆ useCaffeReason()

string MyCaffe.param.ReLUParameter.useCaffeReason ( )

Returns the reason that Caffe version was used instead of NVIDIA's cuDnn.

Returns

Definition at line 34 of file ReLUParameter.cs.

◆ useCudnn()

bool MyCaffe.param.ReLUParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn.

Returns: Returns true when cuDnn is to be used, false otherwise.

Definition at line 49 of file ReLUParameter.cs.

Property Documentation

◆ negative_slope

double MyCaffe.param.ReLUParameter.negative_slope

getset

Specifies the negative slope. Allow non-zero slope for negative inputs to speed up optimization.

Definition at line 62 of file ReLUParameter.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param/ReLUParameter.cs

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ ReLUParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

◆ useCaffeReason()

◆ useCudnn()

Property Documentation

◆ negative_slope