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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
-
Backprop()
-
-
getParameters(int)
- Return a parameter array if BNF(), parse(), and unparse() are to be automated, null otherwise.
-
initialize(int)
- Initialize, either partially or completely.
-
run()
- repeatedly change x until f(x) reaches a local minimum
-
setWatchManager(WatchManager, String)
- Register all variables with this WatchManager.
Backprop
public Backprop()
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
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
run
public void run()
- repeatedly change x until f(x) reaches a local minimum
- Overrides:
- run in class GradDesc
initialize
public void initialize(int level)
- Initialize, either partially or completely.
- Overrides:
- initialize in class Experiment
- See Also:
- initialize
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