Uses of Interface
org.deeplearning4j.optimize.api.StepFunction

Packages that use StepFunction

Package	Description
org.deeplearning4j.optimize.api
org.deeplearning4j.optimize.solvers
org.deeplearning4j.optimize.solvers.accumulation
org.deeplearning4j.optimize.stepfunctions

Uses of StepFunction in org.deeplearning4j.optimize.api

Methods in org.deeplearning4j.optimize.api that return StepFunction

Modifier and Type	Method and Description
StepFunction	ConvexOptimizer.getStepFunction() This method returns StepFunction defined within this Optimizer instance

Uses of StepFunction in org.deeplearning4j.optimize.solvers

Fields in org.deeplearning4j.optimize.solvers declared as StepFunction

Modifier and Type	Field and Description
protected StepFunction	BaseOptimizer.stepFunction

Methods in org.deeplearning4j.optimize.solvers that return StepFunction

Modifier and Type	Method and Description
static StepFunction	BaseOptimizer.getDefaultStepFunctionForOptimizer(Class<? extends ConvexOptimizer> optimizerClass)

Constructors in org.deeplearning4j.optimize.solvers with parameters of type StepFunction

Constructor and Description
BackTrackLineSearch(Model layer, StepFunction stepFunction, ConvexOptimizer optimizer)
BaseOptimizer(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
BaseOptimizer(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
ConjugateGradient(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
ConjugateGradient(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
LBFGS(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
LBFGS(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
LineGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
LineGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)
StochasticGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model)
StochasticGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model)

Uses of StepFunction in org.deeplearning4j.optimize.solvers.accumulation

Methods in org.deeplearning4j.optimize.solvers.accumulation with parameters of type StepFunction

Modifier and Type	Method and Description
void	EncodedGradientsAccumulator.applyUpdate(StepFunction function, org.nd4j.linalg.api.ndarray.INDArray params, org.nd4j.linalg.api.ndarray.INDArray updates) This method applies accumulated updates via given StepFunction
void	GradientsAccumulator.applyUpdate(StepFunction function, org.nd4j.linalg.api.ndarray.INDArray params, org.nd4j.linalg.api.ndarray.INDArray updates) This method applies accumulated updates via given StepFunction
void	BasicGradientsAccumulator.applyUpdate(StepFunction function, org.nd4j.linalg.api.ndarray.INDArray params, org.nd4j.linalg.api.ndarray.INDArray grad) This method applies accumulated updates via given StepFunction
void	EncodedGradientsAccumulator.applyUpdate(StepFunction function, org.nd4j.linalg.api.ndarray.INDArray params, org.nd4j.linalg.api.ndarray.INDArray updates, double alpha) This method applies accumulated updates via given StepFunction
void	GradientsAccumulator.applyUpdate(StepFunction function, org.nd4j.linalg.api.ndarray.INDArray params, org.nd4j.linalg.api.ndarray.INDArray updates, double alpha) This method applies accumulated updates via given StepFunction
void	BasicGradientsAccumulator.applyUpdate(StepFunction function, org.nd4j.linalg.api.ndarray.INDArray params, org.nd4j.linalg.api.ndarray.INDArray grad, double alpha) This method applies accumulated updates via given StepFunction

Uses of StepFunction in org.deeplearning4j.optimize.stepfunctions

Classes in org.deeplearning4j.optimize.stepfunctions that implement StepFunction

Modifier and Type	Class and Description
class	DefaultStepFunction Default step function
class	GradientStepFunction Normal gradient step function
class	NegativeDefaultStepFunction Inverse step function
class	NegativeGradientStepFunction Subtract the line

Methods in org.deeplearning4j.optimize.stepfunctions that return StepFunction

Modifier and Type	Method and Description
static StepFunction	StepFunctions.createStepFunction(StepFunction stepFunction)