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

Specifies the parameters for the SigmoidLayer. More...

Inheritance diagram for MyCaffe.param.SigmoidParameter:
MyCaffe.param.EngineParameter MyCaffe.param.LayerParameterBase MyCaffe.basecode.BaseParameter MyCaffe.basecode.IBinaryPersist

Public Member Functions

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

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

Detailed Description

Specifies the parameters for the SigmoidLayer.

See also
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys by Joshua Saxe and Konstantin Berlin, 2017.
Residual Attention Network for Image Classification by Fei Wang, Mengquing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, and Xiaoou Tang, 2017.
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging by Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, and Mark D. Plumbley, 2017.

Definition at line 20 of file SigmoidParameter.cs.

Constructor & Destructor Documentation

◆ SigmoidParameter()

MyCaffe.param.SigmoidParameter.SigmoidParameter ( )

Constructor for the parameter.

Definition at line 23 of file SigmoidParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.SigmoidParameter.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 66 of file SigmoidParameter.cs.

◆ FromProto()

static new SigmoidParameter MyCaffe.param.SigmoidParameter.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 78 of file SigmoidParameter.cs.

◆ Load()

override object MyCaffe.param.SigmoidParameter.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 SigmoidParameter.cs.

◆ useCaffeReason()

string MyCaffe.param.SigmoidParameter.useCaffeReason ( )

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

Returns

Definition at line 32 of file SigmoidParameter.cs.

◆ useCudnn()

bool MyCaffe.param.SigmoidParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn.

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

Definition at line 44 of file SigmoidParameter.cs.


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