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 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.