Package | Description |
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org.apache.ignite.ml.nn |
Contains neural networks and related classes.
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org.apache.ignite.ml.optimization.updatecalculators |
Contains update calculators.
|
Modifier and Type | Class and Description |
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class |
MultilayerPerceptron
Class encapsulating logic of multilayer perceptron.
|
Modifier and Type | Class and Description |
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class |
NesterovUpdateCalculator<M extends SmoothParametrized<M>>
Class encapsulating Nesterov algorithm for MLP parameters updateCache.
|
Modifier and Type | Method and Description |
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<M1 extends SmoothParametrized> |
RPropUpdateCalculator.update(M1 obj,
RPropParameterUpdate update)
Update given obj with this parameters.
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<M1 extends SmoothParametrized> |
SimpleGDUpdateCalculator.update(M1 obj,
SimpleGDParameterUpdate update)
Update given obj with this parameters.
|
Modifier and Type | Method and Description |
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RPropParameterUpdate |
RPropUpdateCalculator.calculateNewUpdate(SmoothParametrized mdl,
RPropParameterUpdate updaterParams,
int iteration,
Matrix inputs,
Matrix groundTruth)
Calculate new update.
|
SimpleGDParameterUpdate |
SimpleGDUpdateCalculator.calculateNewUpdate(SmoothParametrized mlp,
SimpleGDParameterUpdate updaterParameters,
int iteration,
Matrix inputs,
Matrix groundTruth)
Calculate new update.
|
RPropParameterUpdate |
RPropUpdateCalculator.init(SmoothParametrized mdl,
IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss)
Initializes the update calculator.
|
SimpleGDParameterUpdate |
SimpleGDUpdateCalculator.init(SmoothParametrized mdl,
IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss)
Initializes the update calculator.
|
GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024