ResourceApplyProximalGradientDescent
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Zaktualizuj „*var” jako algorytm FOBOS ze stałą szybkością uczenia się.
prox_v = var - alfa delta var = znak(prox_v)/(1+alfa l2) max{|prox_v|-alfa l1,0}
Stałe
| Strunowy | OP_NAME | Nazwa tej operacji znana silnikowi rdzenia TensorFlow |
Metody dziedziczone
Z klasy java.lang.Object | wartość logiczna | równa się (Obiekt arg0) |
| ostatnia klasa<?> | pobierzKlasę () |
| wew | hashCode () |
| ostateczna pustka | powiadomić () |
| ostateczna pustka | powiadom wszystkich () |
| Strunowy | doString () |
| ostateczna pustka | czekaj (długi arg0, int arg1) |
| ostateczna pustka | czekaj (długi arg0) |
| ostateczna pustka | Czekać () |
Stałe
publiczny statyczny końcowy ciąg znaków OP_NAME
Nazwa tej operacji znana silnikowi rdzenia TensorFlow
Wartość stała: „ResourceApplyProximalGradientDescent”
Metody publiczne
Metoda fabryczna służąca do tworzenia klasy opakowującej nową operację ResourceApplyProximalGradientDescent.
Parametry
| zakres | aktualny zakres |
|---|
| odm | Powinno pochodzić ze zmiennej (). |
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| alfa | Współczynnik skalowania. Musi być skalarem. |
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| l1 | Regularyzacja L1. Musi być skalarem. |
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| l2 | Regularyzacja L2. Musi być skalarem. |
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| delta | Zmiana. |
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| opcje | przenosi opcjonalne wartości atrybutów |
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Zwroty
- nowe wystąpienie ResourceApplyProximalGradientDescent
Parametry
| użyjBlokowanie | Jeśli True, odejmowanie będzie chronione blokadą; w przeciwnym razie zachowanie jest niezdefiniowane, ale może wykazywać mniejszą rywalizację. |
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O ile nie stwierdzono inaczej, treść tej strony jest objęta licencją Creative Commons – uznanie autorstwa 4.0, a fragmenty kodu są dostępne na licencji Apache 2.0. Szczegółowe informacje na ten temat zawierają zasady dotyczące witryny Google Developers. Java jest zastrzeżonym znakiem towarowym firmy Oracle i jej podmiotów stowarzyszonych.
Ostatnia aktualizacja: 2025-07-26 UTC.
[null,null,["Ostatnia aktualizacja: 2025-07-26 UTC."],[],[],null,["# ResourceApplyProximalGradientDescent\n\npublic final class **ResourceApplyProximalGradientDescent** \nUpdate '\\*var' as FOBOS algorithm with fixed learning rate.\n\n\nprox_v = var - alpha *delta\nvar = sign(prox_v)/(1+alpha* l2) *max{\\|prox_v\\|-alpha*l1,0}\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| class | [ResourceApplyProximalGradientDescent.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) || Optional attributes for [ResourceApplyProximalGradientDescent](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent) |\n\n### Constants\n\n|--------|----------------------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [ResourceApplyProximalGradientDescent](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent) | [create](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c?\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Options...))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e var, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e alpha, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l1, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l2, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e delta, [Options...](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) options) Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation. |\n| static [ResourceApplyProximalGradientDescent.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) | [useLocking](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent#useLocking(java.lang.Boolean))(Boolean useLocking) |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"ResourceApplyProximalGradientDescent\"\n\nPublic Methods\n--------------\n\n#### public static [ResourceApplyProximalGradientDescent](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e var, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e alpha, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l1, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l2, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e delta, [Options...](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) options)\n\nFactory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation. \n\n##### Parameters\n\n| scope | current scope |\n| var | Should be from a Variable(). |\n| alpha | Scaling factor. Must be a scalar. |\n| l1 | L1 regularization. Must be a scalar. |\n| l2 | L2 regularization. Must be a scalar. |\n| delta | The change. |\n| options | carries optional attributes values |\n|---------|--------------------------------------|\n\n##### Returns\n\n- a new instance of ResourceApplyProximalGradientDescent \n\n#### public static [ResourceApplyProximalGradientDescent.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options)\n**useLocking**\n(Boolean useLocking)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| useLocking | If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |\n|------------|-----------------------------------------------------------------------------------------------------------------------------|"]]
