Source

orange-multitarget / docs / rst / NeuralNetwork.rst

Neural Network

Signals

Inputs:
  • Data

    Data to be used for learning.

Outputs:
  • Learner or Classifier

Description

Usage example

Neural networks are a complex technique accessible in a simple widget. Setting are described below.

Settings

  • Hidden layer neurons

    The number of neurons in the hidden layer.

  • Reguralization factor

    Regularization factor controls overfitting.

  • Max iterations

    Maximal number of iterations the optimization algorithm can make.