MyCaffe  1.12.2.41
Deep learning software for Windows C# programmers.
MyCaffe.param.HingeLossParameter Class Reference

Specifies the parameters for the HingLossLayer. More...

Inheritance diagram for MyCaffe.param.HingeLossParameter:
MyCaffe.param.LayerParameterBase MyCaffe.basecode.BaseParameter MyCaffe.basecode.IBinaryPersist

Public Types

enum  Norm { L1 = 1 , L2 = 2 }
 Defines the type of normalization. More...
 
- Public Types inherited from MyCaffe.param.LayerParameterBase
enum  LABEL_TYPE { NONE , SINGLE , MULTIPLE , ONLY_ONE }
 Defines the label type. More...
 

Public Member Functions

 HingeLossParameter ()
 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 HingeLossParameter 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

Norm norm [getset]
 Specify the Norm to use L1 or L2 More...
 

Detailed Description

Specifies the parameters for the HingLossLayer.

See also
CNN-based Patch Matching for Optical Flow with Thresholded Hinge Loss by Christian Bailer, Kiran Varanasi, and Didier Stricker, 2016.
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic by Stephen H. Bach, Matthias Broecheler, Bert Huang, and Lise Getoor, 2015.

Definition at line 19 of file HingeLossParameter.cs.

Member Enumeration Documentation

◆ Norm

Defines the type of normalization.

Enumerator
L1 

L1 normalization.

L2 

L2 normalization.

Definition at line 24 of file HingeLossParameter.cs.

Constructor & Destructor Documentation

◆ HingeLossParameter()

MyCaffe.param.HingeLossParameter.HingeLossParameter ( )

Constructor for the parameter.

Definition at line 39 of file HingeLossParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.HingeLossParameter.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 73 of file HingeLossParameter.cs.

◆ Copy()

override void MyCaffe.param.HingeLossParameter.Copy ( LayerParameterBase  src)
virtual

Copy on parameter to another.

Parameters
srcSpecifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 66 of file HingeLossParameter.cs.

◆ FromProto()

static HingeLossParameter MyCaffe.param.HingeLossParameter.FromProto ( RawProto  rp)
static

Parses the parameter from a RawProto.

Parameters
rpSpecifies the RawProto to parse.
Returns
A new instance of the parameter is returned.

Definition at line 99 of file HingeLossParameter.cs.

◆ Load()

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

Load the parameter from a binary reader.

Parameters
brSpecifies the binary reader.
bNewInstanceWhen 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 54 of file HingeLossParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.HingeLossParameter.ToProto ( string  strName)
virtual

Convert the parameter into a RawProto.

Parameters
strNameSpecifies the name to associate with the RawProto.
Returns
The new RawProto is returned.

Implements MyCaffe.basecode.BaseParameter.

Definition at line 85 of file HingeLossParameter.cs.

Property Documentation

◆ norm

Norm MyCaffe.param.HingeLossParameter.norm
getset

Specify the Norm to use L1 or L2

Definition at line 47 of file HingeLossParameter.cs.


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