SparseSoftmaxCrossEntropyWithLogits
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Calcula o custo de entropia cruzada softmax e gradientes para retropropagar.
Ao contrário de `SoftmaxCrossEntropyWithLogits`, esta operação não aceita uma matriz de probabilidades de rótulo, mas sim um único rótulo por linha de recursos. Este rótulo é considerado como tendo probabilidade 1,0 para a linha fornecida.
As entradas são logits, não probabilidades.
Constantes
Corda | OP_NAME | O nome desta operação, conforme conhecido pelo mecanismo principal do TensorFlow |
Métodos herdados
Da classe java.lang.Object boleano | é igual (objeto arg0) |
aula final<?> | getClass () |
interno | código hash () |
vazio final | notificar () |
vazio final | notificar todos () |
Corda | para sequenciar () |
vazio final | espere (long arg0, int arg1) |
vazio final | espere (arg0 longo) |
vazio final | espere () |
Constantes
String final estática pública OP_NAME
O nome desta operação, conforme conhecido pelo mecanismo principal do TensorFlow
Valor constante: "SparseSoftmaxCrossEntropyWithLogits"
Métodos Públicos
Saída pública <T> backprop ()
gradientes retropropagados (matriz batch_size x num_classes).
Método de fábrica para criar uma classe que envolve uma nova operação SparseSoftmaxCrossEntropyWithLogits.
Parâmetros
escopo | escopo atual |
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características | matriz batch_size x num_classes |
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rótulos | vetor batch_size com valores em [0, num_classes). Este é o rótulo para a entrada do minilote fornecida. |
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Devoluções
- uma nova instância de SparseSoftmaxCrossEntropyWithLogits
perda de saída pública <T> ()
Por exemplo, perda (vetor batch_size).
Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2025-07-26 UTC.
[null,null,["Última atualização 2025-07-26 UTC."],[],[],null,["# SparseSoftmaxCrossEntropyWithLogits\n\npublic final class **SparseSoftmaxCrossEntropyWithLogits** \nComputes softmax cross entropy cost and gradients to backpropagate.\n\n\nUnlike \\`SoftmaxCrossEntropyWithLogits\\`, this operation does not accept\na matrix of label probabilities, but rather a single label per row\nof features. This label is considered to have probability 1.0 for the\ngiven row.\n\n\nInputs are the logits, not probabilities.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|----------------------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/nn/raw/SparseSoftmaxCrossEntropyWithLogits#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [backprop](/jvm/api_docs/java/org/tensorflow/op/nn/raw/SparseSoftmaxCrossEntropyWithLogits#backprop())() backpropagated gradients (batch_size x num_classes matrix). |\n| static \\\u003cT extends [TNumber](/jvm/api_docs/java/org/tensorflow/types/family/TNumber)\\\u003e [SparseSoftmaxCrossEntropyWithLogits](/jvm/api_docs/java/org/tensorflow/op/nn/raw/SparseSoftmaxCrossEntropyWithLogits)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/nn/raw/SparseSoftmaxCrossEntropyWithLogits#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003c? extends org.tensorflow.types.family.TNumber\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e features, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TNumber](/jvm/api_docs/java/org/tensorflow/types/family/TNumber)\\\u003e labels) Factory method to create a class wrapping a new SparseSoftmaxCrossEntropyWithLogits operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [loss](/jvm/api_docs/java/org/tensorflow/op/nn/raw/SparseSoftmaxCrossEntropyWithLogits#loss())() Per example loss (batch_size vector). |\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: \"SparseSoftmaxCrossEntropyWithLogits\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**backprop**\n()\n\nbackpropagated gradients (batch_size x num_classes matrix). \n\n#### public static [SparseSoftmaxCrossEntropyWithLogits](/jvm/api_docs/java/org/tensorflow/op/nn/raw/SparseSoftmaxCrossEntropyWithLogits)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e features, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TNumber](/jvm/api_docs/java/org/tensorflow/types/family/TNumber)\\\u003e labels)\n\nFactory method to create a class wrapping a new SparseSoftmaxCrossEntropyWithLogits operation. \n\n##### Parameters\n\n| scope | current scope |\n| features | batch_size x num_classes matrix |\n| labels | batch_size vector with values in \\[0, num_classes). This is the label for the given minibatch entry. |\n|----------|------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of SparseSoftmaxCrossEntropyWithLogits \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**loss**\n()\n\nPer example loss (batch_size vector)."]]