org.encog.neural.networks.layers
Interface Layer

All Known Implementing Classes:

BasicLayer

public interface Layer

This interface defines all necessary methods for a neural network layer.

Author:

jheaton

Method Summary

ActivationFunction	getActivationFunction()
double	getBiasActivation() Most layer types will default this value to one.
BasicNetwork	getNetwork()
int	getNeuronCount()
boolean	hasBias()
void	setActivation(ActivationFunction activation) Set the activation function.
void	setBiasActivation(double activation) Most layer types will default this value to one.
void	setNetwork(BasicNetwork network) Set the network that this layer belongs to.

Method Detail

getActivationFunction

ActivationFunction getActivationFunction()

Returns:

The activation function used for this layer.

getNetwork

BasicNetwork getNetwork()

Returns:

The network that this layer is attached to.

getNeuronCount

int getNeuronCount()

Returns:

The neuron count.

hasBias

boolean hasBias()

Returns:

True if this layer has a bias.

setNetwork

void setNetwork(BasicNetwork network)

Set the network that this layer belongs to.

Parameters:

network - The network.

setBiasActivation

void setBiasActivation(double activation)

Most layer types will default this value to one. However, it is possible to use other values. This is the activation that will be passed over the bias weights to the inputs of this layer. See the Layer interface documentation for more information on how Encog handles bias values.

Parameters:

activation - The activation for the bias weights.

getBiasActivation

double getBiasActivation()

Most layer types will default this value to one. However, it is possible to use other values. This is the activation that will be passed over the bias weights to the inputs of this layer. See the Layer interface documentation for more information on how Encog handles bias values.

Returns:

The bias activation for this layer.

setActivation

void setActivation(ActivationFunction activation)

Set the activation function.

Parameters:

activation - The activation function.