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Class sim.gradDesc.Backprop

java.lang.Object
   |
   +----sim.Experiment
           |
           +----sim.gradDesc.GradDesc
                   |
                   +----sim.gradDesc.Backprop

public class Backprop
extends GradDesc
Backprop with a fixed learning rate.

This code is (c) 1996 Leemon Baird <leemon@cs.cmu.edu>, http://www.cs.cmu.edu/~baird
The source and object code may be redistributed freely. If the code is modified, please state so in the comments.

Version:
1.1, 29 July 97
Author:
Leemon Baird

Constructor Index

 o Backprop()

Method Index

 o getParameters(int)
Return a parameter array if BNF(), parse(), and unparse() are to be automated, null otherwise.
 o initialize(int)
Initialize, either partially or completely.
 o run()
repeatedly change x until f(x) reaches a local minimum
 o setWatchManager(WatchManager, String)
Register all variables with this WatchManager.

Constructors

 o Backprop
 public Backprop()

Methods

 o getParameters
 public Object[][] getParameters(int lang)
Return a parameter array if BNF(), parse(), and unparse() are to be automated, null otherwise.

Overrides:
getParameters in class GradDesc
See Also:
getParameters
 o setWatchManager
 public void setWatchManager(WatchManager wm,
                             String name)
Register all variables with this WatchManager. This will be called after all parsing is done.

Overrides:
setWatchManager in class GradDesc
 o run
 public void run()
repeatedly change x until f(x) reaches a local minimum

Overrides:
run in class GradDesc
 o initialize
 public void initialize(int level)
Initialize, either partially or completely.

Overrides:
initialize in class Experiment
See Also:
initialize

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