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java.lang.Objectorg.encog.neural.activation.ActivationLinear
public class ActivationLinear
ActivationLinear: The Linear layer is really not an activation function at all. The input is simply passed on, unmodified, to the output. This activation function is primarily theoretical and of little actual use. Usually an activation function that scales between 0 and 1 or -1 and 1 should be used.
| Constructor Summary | |
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ActivationLinear()
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| Method Summary | |
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double |
activationFunction(double d)
A threshold function for a neural network. |
Persistor |
createPersistor()
Create a persistor for this object. |
double |
derivativeFunction(double d)
Some training methods require the derivative. |
java.lang.String |
getDescription()
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java.lang.String |
getName()
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void |
setDescription(java.lang.String description)
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void |
setName(java.lang.String name)
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| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public ActivationLinear()
| Method Detail |
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public double activationFunction(double d)
activationFunction in interface ActivationFunctiond - The input to the function.
public Persistor createPersistor()
createPersistor in interface EncogPersistedObjectpublic double derivativeFunction(double d)
derivativeFunction in interface ActivationFunctiond - The input.
public java.lang.String getDescription()
getDescription in interface EncogPersistedObjectpublic java.lang.String getName()
getName in interface EncogPersistedObjectpublic void setDescription(java.lang.String description)
setDescription in interface EncogPersistedObjectdescription - the description to setpublic void setName(java.lang.String name)
setName in interface EncogPersistedObjectname - the name to set
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