Specifies the parameters of the DropoutLayer. More...

Inheritance diagram for MyCaffe.param.DropoutParameter:

Public Member Functions
	DropoutParameter ()
	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...

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.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 DropoutParameter	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	dropout_ratio `[getset]`
	Specifies the dropout ratio. (e.g. the probability that values will be dropped out and set to zero. A value of 0.25 = 25% chance that a value is set to 0, and dropped out.) More...

long	seed `[getset]`
	Specifies the seed used by cuDnn for random number generation. More...

bool	active `[getset]`
	Specifies whether or not the dropout is active or not. When inactive and training, the dropout acts the same as it does during testing and is ignored. 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 of the DropoutLayer.

See also: Improving neural networks by preventing co-adaptation of feature detectors by Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhavsky, and Ruslan R. Salakhutdinov, 2012.; Information Dropout: Learning Optimal Representations Through Noisy Computation by Alessandro Achille, and Stevano Soatto, 2016.

Definition at line 19 of file DropoutParameter.cs.

Constructor & Destructor Documentation

◆ DropoutParameter()

MyCaffe.param.DropoutParameter.DropoutParameter ( )

Constructor for the parameter.

Definition at line 26 of file DropoutParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.DropoutParameter.Clone ( )

virtual

Creates a new copy of this instance of the parameter.

Returns: A new instance of this parameter is returned.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 115 of file DropoutParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 101 of file DropoutParameter.cs.

◆ FromProto()

static new DropoutParameter MyCaffe.param.DropoutParameter.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 143 of file DropoutParameter.cs.

◆ Load()

override object MyCaffe.param.DropoutParameter.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 89 of file DropoutParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.DropoutParameter.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.

Implements MyCaffe.basecode.BaseParameter.

Definition at line 123 of file DropoutParameter.cs.

◆ useCaffeReason()

string MyCaffe.param.DropoutParameter.useCaffeReason ( )

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

Returns

Definition at line 35 of file DropoutParameter.cs.

◆ useCudnn()

bool MyCaffe.param.DropoutParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn.

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

Definition at line 50 of file DropoutParameter.cs.

Property Documentation

◆ active

bool MyCaffe.param.DropoutParameter.active

getset

Specifies whether or not the dropout is active or not. When inactive and training, the dropout acts the same as it does during testing and is ignored.

Definition at line 82 of file DropoutParameter.cs.

◆ dropout_ratio

double MyCaffe.param.DropoutParameter.dropout_ratio

getset

Specifies the dropout ratio. (e.g. the probability that values will be dropped out and set to zero. A value of 0.25 = 25% chance that a value is set to 0, and dropped out.)

Definition at line 62 of file DropoutParameter.cs.

◆ seed

long MyCaffe.param.DropoutParameter.seed

getset

Specifies the seed used by cuDnn for random number generation.

Definition at line 72 of file DropoutParameter.cs.

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

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

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ DropoutParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

◆ useCaffeReason()

◆ useCudnn()

Property Documentation

◆ active

◆ dropout_ratio

◆ seed