Package com.rapidminer.operator.learner.functions.neuralnet

This package contains a neural net learner based on Joone.

See:
Description

Class Summary

ActivationFunction	This is the activation function of a neural net node.
ImprovedNeuralNetLearner	This operator learns a model by means of a feed-forward neural network trained by a backpropagation algorithm (multi-layer perceptron).
ImprovedNeuralNetModel	The model of the improved neural net.
ImprovedNeuralNetVisualizer	Visualizes the improved neural net.
InnerNode	This class is used to represent a hidden node in the neural net.
InputNode	The base node for reading the data from examples and feeding it into the neural net.
LinearFunction	This function represents a linear activation function by calculating the identity function on the weighted sum.
NeuralNetLearner	This operator learns a model by means of a feed-forward neural network.
NeuralNetModel	This is the model for the neural net learner.
NeuralNetVisualizer	Visualizes a neural net.
Node	A node is the abstract superclass for all types of neural net nodes and also represents the connection between other nodes of the neural net.
OutputNode	This node represents the output node(s) of a neural network.
SigmoidFunction	This function represents a sigmoid activation function by calculating 1 / (1 + exp(- weighted sum).
SimpleNeuralNetLearner	This operator learns a model by means of a feed-forward neural network.
SimpleNeuralNetModel	This is the model for the simple neural net learner.
SimpleNeuralNetVisualizer	Visualizes a simple neural net.

Package com.rapidminer.operator.learner.functions.neuralnet Description

This package contains a neural net learner based on Joone.