case class SequenceLoss[Predictions, Labels, L](name: String, loss: (ops.Output[Predictions], ops.Output[Labels]) ⇒ ops.Output[Predictions], averageAcrossTimeSteps: Boolean = true, averageAcrossBatch: Boolean = true, weights: tensors.Tensor[Predictions] = null)(implicit evidence$25: core.types.TF[Predictions], evidence$26: core.types.IsDecimal[Predictions], evidence$27: core.types.TF[Labels], evidence$28: core.types.TF[L], evidence$29: core.types.IsFloatOrDouble[L]) extends Loss[(ops.Output[Predictions], ops.Output[Labels]), L] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Loss[(ops.Output[Predictions], ops.Output[Labels]), L], Layer[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]], AnyRef, Any
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Inherited
  1. SequenceLoss
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Loss
  7. Layer
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SequenceLoss(name: String, loss: (ops.Output[Predictions], ops.Output[Labels]) ⇒ ops.Output[Predictions], averageAcrossTimeSteps: Boolean = true, averageAcrossBatch: Boolean = true, weights: tensors.Tensor[Predictions] = null)(implicit arg0: core.types.TF[Predictions], arg1: core.types.IsDecimal[Predictions], arg2: core.types.TF[Labels], arg3: core.types.TF[L], arg4: core.types.IsFloatOrDouble[L])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def +(other: Layer[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]]): Concatenate[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]]
    Definition Classes
    Layer
  4. def ++(others: Seq[Layer[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]]]): Concatenate[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]]
    Definition Classes
    Layer
  5. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  6. def >>[S](other: Layer[ops.Output[L], S]): Compose[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L], S]
    Definition Classes
    Layer
  7. def apply(input: (ops.Output[Predictions], ops.Output[Labels]))(implicit mode: Mode): ops.Output[L]
    Definition Classes
    Layer
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. val averageAcrossBatch: Boolean
  10. val averageAcrossTimeSteps: Boolean
  11. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  12. def compose[S](other: Layer[ops.Output[L], S]): Compose[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L], S]
    Definition Classes
    Layer
  13. def concatenate(others: Layer[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]]*): Concatenate[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]]
    Definition Classes
    Layer
  14. final def currentStep: ops.Output[Long]
    Definition Classes
    Layer
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  17. def forward(input: (ops.Output[Predictions], ops.Output[Labels]))(implicit mode: Mode): ops.Output[L]
    Definition Classes
    Layer
  18. def forwardWithoutContext(input: (ops.Output[Predictions], ops.Output[Labels]))(implicit mode: Mode): ops.Output[L]
    Definition Classes
    SequenceLoss → Layer
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. final def getParameter[P](name: String, shape: core.Shape, initializer: Initializer = null, regularizer: Regularizer = null, trainable: Boolean = true, reuse: Reuse = ReuseOrCreateNew, collections: Set[Key[ops.variables.Variable[Any]]] = Set.empty, cachingDevice: (OpSpecification) ⇒ String = null)(implicit arg0: core.types.TF[P]): ops.Output[P]
    Definition Classes
    Layer
  21. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  22. val layerType: String
    Definition Classes
    SequenceLoss → Layer
  23. val loss: (ops.Output[Predictions], ops.Output[Labels]) ⇒ ops.Output[Predictions]
  24. def map[MR](mapFn: (ops.Output[L]) ⇒ MR): Layer[(ops.Output[Predictions], ops.Output[Labels]), MR]
    Definition Classes
    Layer
  25. val name: String
    Definition Classes
    SequenceLoss → Loss → Layer
  26. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  27. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  28. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  29. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  30. def toString(): String
    Definition Classes
    Layer → AnyRef → Any
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  34. val weights: tensors.Tensor[Predictions]

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Loss[(ops.Output[Predictions], ops.Output[Labels]), L]

Inherited from Layer[(ops.Output[Predictions], ops.Output[Labels]), ops.Output[L]]

Inherited from AnyRef

Inherited from Any

Ungrouped