Source

orange-multitarget / docs / rst / NeuralNetwork.rst

NeuralNetwork

Widget icon

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.

Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for ProjectModifiedEvent.java.
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
Tip: Use ↑ and ↓ arrow keys to navigate and return to view the file.
Tip: You can also navigate files with Ctrl+j (next) and Ctrl+k (previous) and view the file with Ctrl+o.
Tip: You can also navigate files with Alt+j (next) and Alt+k (previous) and view the file with Alt+o.