C# Class AForge.Neuro.Layer

Base neural layer class

This is a base neural layer class, which represents collection of neurons.

Show file Open project: holisticware-admin/MonoVersal.AForgeNET Class Usage Examples

Protected Properties

Property	Type	Description
inputsCount	int
neurons	AForge.Neuro.Neuron[]
neuronsCount	int
output	double[]

Public Methods

Method	Description
Compute ( double input ) : double[]	Compute output vector of the layer. The actual layer's output vector is determined by neurons, which comprise the layer - consists of output values of layer's neurons. The output vector is also stored in Output property. The method may be called safely from multiple threads to compute layer's output value for the specified input values. However, the value of Output property in multi-threaded environment is not predictable, since it may hold layer's output computed from any of the caller threads. Multi-threaded access to the method is useful in those cases when it is required to improve performance by utilizing several threads and the computation is based on the immediate return value of the method, but not on layer's output property.
Randomize ( ) : void	Randomize neurons of the layer. Randomizes layer's neurons by calling Neuron.Randomize method of each neuron.

Protected Methods

Method	Description
Layer ( int neuronsCount, int inputsCount ) : System	Initializes a new instance of the Layer class. Protected contructor, which initializes inputsCount, neuronsCount and neurons members.

Method Details

Compute() public method

Compute output vector of the layer.

The actual layer's output vector is determined by neurons, which comprise the layer - consists of output values of layer's neurons. The output vector is also stored in Output property.

The method may be called safely from multiple threads to compute layer's output value for the specified input values. However, the value of Output property in multi-threaded environment is not predictable, since it may hold layer's output computed from any of the caller threads. Multi-threaded access to the method is useful in those cases when it is required to improve performance by utilizing several threads and the computation is based on the immediate return value of the method, but not on layer's output property.

public Compute ( double input ) : double[]
input	double	Input vector.
return	double[]

Layer() protected method

Initializes a new instance of the Layer class.

Protected contructor, which initializes inputsCount, neuronsCount and neurons members.

protected Layer ( int neuronsCount, int inputsCount ) : System
neuronsCount	int	Layer's neurons count.
inputsCount	int	Layer's inputs count.
return	System

Randomize() public method

Randomize neurons of the layer.

Randomizes layer's neurons by calling Neuron.Randomize method of each neuron.

public Randomize ( ) : void
return	void

Property Details

inputsCount protected property

Layer's inputs count.

protected int inputsCount
return	int

neurons protected property

Layer's neurons.

protected Neuron[],AForge.Neuro neurons
return	AForge.Neuro.Neuron[]

neuronsCount protected property

Layer's neurons count.

protected int neuronsCount
return	int

output protected property

Layer's output vector.

protected double[] output
return	double[]