org.deeplearning4j.optimize.stepfunctions

Class GradientStepFunction

java.lang.Object

org.deeplearning4j.optimize.stepfunctions.GradientStepFunction

All Implemented Interfaces:

Serializable, StepFunction

public class GradientStepFunction
extends Object
implements StepFunction

Normal gradient step function

Author:

Adam Gibson

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GradientStepFunction()

Method Summary

Modifier and Type	Method and Description
void	step()
void	step(org.nd4j.linalg.api.ndarray.INDArray x, org.nd4j.linalg.api.ndarray.INDArray line) Step with no parameters
void	step(org.nd4j.linalg.api.ndarray.INDArray x, org.nd4j.linalg.api.ndarray.INDArray line, double step) Step with the given parameters

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GradientStepFunction

public GradientStepFunction()

Method Detail

step

public void step(org.nd4j.linalg.api.ndarray.INDArray x,
                 org.nd4j.linalg.api.ndarray.INDArray line,
                 double step)

Description copied from interface: StepFunction

Step with the given parameters

Specified by:

step in interface StepFunction

Parameters:

x - the current parameters

line - the line to step

step

public void step(org.nd4j.linalg.api.ndarray.INDArray x,
                 org.nd4j.linalg.api.ndarray.INDArray line)

Description copied from interface: StepFunction

Step with no parameters

Specified by:

step in interface StepFunction

step

public void step()

Specified by:

step in interface StepFunction