ResourceApplyProximalGradientDescent
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Perbarui '*var' sebagai algoritma FOBOS dengan kecepatan pembelajaran tetap.
prox_v = var - alfa delta var = tanda(prox_v)/(1+alpha l2) maks{|prox_v|-alpha l1,0}
Konstanta
| Rangkaian | OP_NAME | Nama operasi ini dikenal dengan mesin inti TensorFlow |
Metode Warisan
Dari kelas java.lang.Object | boolean | sama dengan (Objek arg0) |
| Kelas terakhir<?> | dapatkan Kelas () |
| ke dalam | Kode hash () |
| kekosongan terakhir | memberitahu () |
| kekosongan terakhir | beri tahuSemua () |
| Rangkaian | keString () |
| kekosongan terakhir | tunggu (arg0 panjang, int arg1) |
| kekosongan terakhir | tunggu (argumen panjang0) |
| kekosongan terakhir | Tunggu () |
Konstanta
String akhir statis publik OP_NAME
Nama operasi ini dikenal dengan mesin inti TensorFlow
Nilai Konstan: "ResourceApplyProximalGradientDescent"
Metode Publik
Metode pabrik untuk membuat kelas yang membungkus operasi ResourceApplyProximalGradientDescent baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| var | Harus dari Variabel(). |
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| alfa | Faktor skala. Pasti skalar. |
|---|
| l1 | Regularisasi L1. Pasti skalar. |
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| l2 | Regularisasi L2. Pasti skalar. |
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| delta | Perubahan. |
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| pilihan | membawa nilai atribut opsional |
|---|
Kembali
- contoh baru ResourceApplyProximalGradientDescent
Parameter
| gunakan Penguncian | Jika Benar, pengurangan akan dilindungi oleh gembok; jika tidak, perilaku tersebut tidak terdefinisikan, namun mungkin menunjukkan lebih sedikit pertentangan. |
|---|
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 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|------------|-----------------------------------------------------------------------------------------------------------------------------|"]]
