Uses of Interface
de.htwdd.rosenkoenig.neuro.net.ActivationFunction

Packages that use ActivationFunction

de.htwdd.rosenkoenig.neuro.net

The package net contains implementations, examples and utilities to create and train neural networks.

Uses of ActivationFunction in de.htwdd.rosenkoenig.neuro.net

Classes in de.htwdd.rosenkoenig.neuro.net that implement ActivationFunction

class	Identity This is a dummy function that returns the same value for compute that was given to the function and 1.0 for computeDerivation.
class	Sigmoid A sigmoid activation function.
class	Tanh An activation function using tanh.

Fields in de.htwdd.rosenkoenig.neuro.net declared as ActivationFunction

protected ActivationFunction

Layer.activationFunction The activation function of the net.

Methods in de.htwdd.rosenkoenig.neuro.net that return ActivationFunction

ActivationFunction

Layer.getActivationFunction() Getter of the property activationFunction

Methods in de.htwdd.rosenkoenig.neuro.net with parameters of type ActivationFunction

void	FeedForwardNet.addHiddenLayer(int layerSize, ActivationFunction activationFunction) Add a hidden layer of layerSize using activationFunction to your net.
void	Layer.setActivationFunction(ActivationFunction activationFunction) Setter of the property activationFunction

Constructors in de.htwdd.rosenkoenig.neuro.net with parameters of type ActivationFunction

InnerLayer(int numNeurons, boolean biased, ActivationFunction activationFunction)
Ctor that creates a InnerLayer with numNeurons that is biased or not.

InputLayer(int numNeurons, boolean biased, ActivationFunction activationFunction)
Ctor that creates a InnerLayer with numNeurons that is biased or not.

Layer(int numNeurons, boolean biased, ActivationFunction activationFunction)
Ctor that creates a layer with numNeurons that is biased or not.