[DEPRECIATED - use LSTMAttentionParameter instead with enable_attention = false] Specifies the parameters for the LSTMSimpleLayer. More...

Inheritance diagram for MyCaffe.param.LSTMSimpleParameter:

Public Member Functions
	LSTMSimpleParameter ()
	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 LSTMSimpleParameter	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
uint	num_output `[getset]`
	Specifies the number of outputs for the layer. More...

double	clipping_threshold `[getset]`
	Specifies the gradient clipping threshold, default = 0.0 (i.e. no clipping). More...

FillerParameter	weight_filler `[getset]`
	Specifies the filler parameters for the weight filler. More...

FillerParameter	bias_filler `[getset]`
	Specifies the filler parameters for the bias filler. More...

uint	batch_size `[getset]`
	Specifies the batch size, default = 1. More...

bool	enable_clockwork_forgetgate_bias `[getset]`
	When enabled, the forget gate bias is set to 5.0. More...

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

Detailed Description

[DEPRECIATED - use LSTMAttentionParameter instead with enable_attention = false] Specifies the parameters for the LSTMSimpleLayer.

See also: A Clockwork RNN by Jan Koutnik, Klaus Greff, Faustino Gomez, and Jürgen Schmidhuber, 2014.; Long short-term memory by Sepp Hochreiter and Jürgen Schmidhuber, 1997.; Learning to execute by Wojciech Zaremba and Ilya Sutskever, 2014.; Generating sequences with recurrent neural networks by Alex Graves, 2013.; Predictive Business Process Monitoring with LSTM Neural Networks by Niek Tax, Ilya Verenich, Marcello La Rosa, and Marlon Dumas, 2016.; Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets by Maciej Wielgosz, Andrzej Skoczeń, and Matej Mertik, 2016.; Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction by Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Bossaid, and Ferdous Sohel, 2016.

Definition at line 25 of file LSTMSimpleParameter.cs.

Constructor & Destructor Documentation

◆ LSTMSimpleParameter()

MyCaffe.param.LSTMSimpleParameter.LSTMSimpleParameter ( )

Constructor for the parameter.

Definition at line 35 of file LSTMSimpleParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.LSTMSimpleParameter.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 129 of file LSTMSimpleParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 117 of file LSTMSimpleParameter.cs.

◆ FromProto()

static LSTMSimpleParameter MyCaffe.param.LSTMSimpleParameter.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 167 of file LSTMSimpleParameter.cs.

◆ Load()

override object MyCaffe.param.LSTMSimpleParameter.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 105 of file LSTMSimpleParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.LSTMSimpleParameter.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 141 of file LSTMSimpleParameter.cs.

Property Documentation

◆ batch_size

uint MyCaffe.param.LSTMSimpleParameter.batch_size

getset

Specifies the batch size, default = 1.

Definition at line 85 of file LSTMSimpleParameter.cs.

◆ bias_filler

FillerParameter MyCaffe.param.LSTMSimpleParameter.bias_filler

getset

Specifies the filler parameters for the bias filler.

Definition at line 75 of file LSTMSimpleParameter.cs.

◆ clipping_threshold

double MyCaffe.param.LSTMSimpleParameter.clipping_threshold

getset

Specifies the gradient clipping threshold, default = 0.0 (i.e. no clipping).

Definition at line 53 of file LSTMSimpleParameter.cs.

◆ enable_clockwork_forgetgate_bias

bool MyCaffe.param.LSTMSimpleParameter.enable_clockwork_forgetgate_bias

getset

When enabled, the forget gate bias is set to 5.0.

See also: A Clockwork RNN by Koutnik, et al., 2014

Definition at line 98 of file LSTMSimpleParameter.cs.

◆ num_output

uint MyCaffe.param.LSTMSimpleParameter.num_output

getset

Specifies the number of outputs for the layer.

Definition at line 43 of file LSTMSimpleParameter.cs.

◆ weight_filler

FillerParameter MyCaffe.param.LSTMSimpleParameter.weight_filler

getset

Specifies the filler parameters for the weight filler.

Definition at line 64 of file LSTMSimpleParameter.cs.

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

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

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ LSTMSimpleParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ batch_size

◆ bias_filler

◆ clipping_threshold

◆ enable_clockwork_forgetgate_bias

◆ num_output

◆ weight_filler