Trait

com.thoughtworks.deeplearning.DifferentiableINDArray.Optimizers

L2Regularization

Related Doc: package Optimizers

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trait L2Regularization extends Optimizer

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Optimizer, AnyRef, Any
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  1. L2Regularization
  2. Optimizer
  3. AnyRef
  4. Any
Implicitly
  1. by toINDArrayLayerOps
  2. by any2stringadd
  3. by StringFormat
  4. by Ensuring
  5. by ArrowAssoc
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Abstract Value Members

  1. abstract def l2Regularization: Double

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    Attributes
    protected

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def +(other: String): String

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to any2stringadd[L2Regularization] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd

  4. def ->[B](y: B): (L2Regularization, B)

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to ArrowAssoc[L2Regularization] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()

  5. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  6. final def asInstanceOf[T0]: T0

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    Any

  7. def clone(): AnyRef

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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. def convn(weight: Aux[Input, Batch], bias: Aux[Input, Batch], kernel: (Int, Int), stride: (Int, Int), padding: (Int, Int)): Aux[Input, Batch]

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    calculate the convolution

    calculate the convolution

    weight

    4 dimensions weight

    bias

    1 dimension bias

    kernel

    the kernel/filter width and height

    stride

    the stride width and height

    padding

    the padding width and height

    returns

    convolution result

    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  9. def currentDelta(oldValue: INDArray, delta: INDArray): INDArray

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    Definition Classes
    L2Regularization → Optimizer

  10. def dot(right: Aux[Input, Batch]): Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  11. def ensuring(cond: (L2Regularization) ⇒ Boolean, msg: ⇒ Any): L2Regularization

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to Ensuring[L2Regularization] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  12. def ensuring(cond: (L2Regularization) ⇒ Boolean): L2Regularization

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to Ensuring[L2Regularization] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  13. def ensuring(cond: Boolean, msg: ⇒ Any): L2Regularization

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to Ensuring[L2Regularization] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  14. def ensuring(cond: Boolean): L2Regularization

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to Ensuring[L2Regularization] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  15. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  17. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  18. def formatted(fmtstr: String): String

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to StringFormat[L2Regularization] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()

  19. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  20. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  21. def im2col(kernel: Array[Int], stride: Array[Int], padding: Array[Int]): Aux[Input, Batch]

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    Im2col ops

    Im2col ops

    kernel

    kernel size / filter size

    stride

    stride size

    padding

    padding size

    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  22. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  23. def maxPool(dimensions: Int*): Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  24. def mean: Aux[Input, Batch]

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    Return mean of all elements of NDArray

    Return mean of all elements of NDArray

    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  25. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  26. final def notify(): Unit

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    Definition Classes
    AnyRef

  27. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  28. def permute(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

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    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps
    Full Signature

    def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  29. def permute(newShape: Int*): Aux[Input, Batch]

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    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps
    Full Signature

    def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  30. def reshape(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

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    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps
    Full Signature

    def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  31. def reshape(newShape: Int*): Aux[Input, Batch]

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    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps
    Full Signature

    def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  32. def shape: Aux[Input, Aux[Seq[Int], (Int, Float)]]

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    Return shape of NDArray

    Return shape of NDArray

    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  33. def sum(dimensions: Int*): Aux[Input, Batch]

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    Return sum dimensions of NDArray,will return an INDArrayPlaceholder

    Return sum dimensions of NDArray,will return an INDArrayPlaceholder

    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  34. def sum: Aux[Input, Batch]

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    Return sum of all elements of NDArray

    Return sum of all elements of NDArray

    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  35. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  36. def toSeq: Aux[Input, Aux[Seq[Seq[Double]], (Int, (Int, Double))]]

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  37. def toString(): String

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    Definition Classes
    AnyRef → Any

  38. def unary_-: Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[L2Regularization, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Definition Classes
    INDArrayLayerOps

  39. final def updateNDArray(oldValue: INDArray, delta: INDArray): INDArray

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    Definition Classes
    Optimizer

  40. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  41. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  42. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  43. def →[B](y: B): (L2Regularization, B)

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    Implicit information
    This member is added by an implicit conversion from L2Regularization to ArrowAssoc[L2Regularization] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Inherited from Optimizer

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion toINDArrayLayerOps from L2Regularization to INDArrayLayerOps[Input]

Inherited by implicit conversion any2stringadd from L2Regularization to any2stringadd[L2Regularization]

Inherited by implicit conversion StringFormat from L2Regularization to StringFormat[L2Regularization]

Inherited by implicit conversion Ensuring from L2Regularization to Ensuring[L2Regularization]

Inherited by implicit conversion ArrowAssoc from L2Regularization to ArrowAssoc[L2Regularization]

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