SigmoidLayer< TYPE > Class Template Reference

#include <NeuralNetwork.H>

Inheritance diagram for SigmoidLayer< TYPE >:

Collaboration diagram for SigmoidLayer< TYPE >:

Public Member Functions
	SigmoidLayer (int inputSize, int outputSize)
template<typename Derived >
	SigmoidLayer (const Eigen::MatrixBase< Derived > &weightsIn, const Eigen::MatrixBase< Derived > &biasIn)
virtual	~SigmoidLayer (void)
	Destructor. More...
virtual Eigen::Matrix< TYPE, Eigen::Dynamic, 1 > &	activate (const Eigen::Matrix< TYPE, Eigen::Dynamic, 1 > &input)
Public Member Functions inherited from NeuralLayer< TYPE >
	NeuralLayer (int inputSize, int outputSize)
template<typename Derived >
	NeuralLayer (const Eigen::MatrixBase< Derived > &weightsIn, const Eigen::MatrixBase< Derived > &biasIn)
virtual	~NeuralLayer (void)
	Destructor. More...
int	inputSize (void)
int	outputSize (void)

Additional Inherited Members
Public Attributes inherited from NeuralLayer< TYPE >
Eigen::Matrix< TYPE, Eigen::Dynamic, 1 >	output
	The output from this layer. More...
Protected Attributes inherited from NeuralLayer< TYPE >
Eigen::Matrix< TYPE, Eigen::Dynamic, Eigen::Dynamic >	weights
	The neural weights for this layer. More...
Eigen::Matrix< TYPE, Eigen::Dynamic, 1 >	bias
	The biases for this layer. More...

Detailed Description

template<typename TYPE>
class SigmoidLayer< TYPE >

Implements a neural layer with a sigmoid activation function

Template Parameters

TYPE	the precision of the data to use, e.g. float, double

Examples:

NeuralNetworkFnTest.C, and NeuralNetworkTest.C.

Definition at line 93 of file NeuralNetwork.H.

Constructor & Destructor Documentation

SigmoidLayer() [1/2]

template<typename TYPE >

SigmoidLayer< TYPE >::SigmoidLayer ( int  inputSize, int  outputSize  )

inline

Generate a neural layer of particular size

Parameters

inputSize	The number of the inputs
outputSize	The number of outputs

Definition at line 99 of file NeuralNetwork.H.

SigmoidLayer() [2/2]

template<typename TYPE >

template<typename Derived >

SigmoidLayer< TYPE >::SigmoidLayer ( const Eigen::MatrixBase< Derived > &  weightsIn, const Eigen::MatrixBase< Derived > &  biasIn  )

inline

Generate a neural layer of particular size providing the weights

Parameters

weightsIn	The weights to set
biasIn	The biases to set

Template Parameters

Derived

is used by Eigen's Curiously recurring template pattern (CRTP)

Definition at line 108 of file NeuralNetwork.H.

~SigmoidLayer()

template<typename TYPE >

virtual SigmoidLayer< TYPE >::~SigmoidLayer ( void  )

inlinevirtual

Destructor.

Definition at line 112 of file NeuralNetwork.H.

Member Function Documentation

activate()

template<typename TYPE >

virtual Eigen::Matrix<TYPE, Eigen::Dynamic, 1>& SigmoidLayer< TYPE >::activate ( const Eigen::Matrix< TYPE, Eigen::Dynamic, 1 > &  input )

inlinevirtual

The sigmoidal activation function Evaluate the neural layer using the sigmoid as the activation function

Parameters

input

The input to this layer

Returns

The result of the layer after processing the input

Reimplemented from NeuralLayer< TYPE >.

Definition at line 119 of file NeuralNetwork.H.

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

• /tmp/gtkiostream/include/NeuralNetwork.H