Trait

com.thoughtworks.deeplearning.DifferentiableINDArray.Optimizers

Adagrad

Related Doc: package Optimizers

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trait Adagrad extends Optimizer

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  1. Adagrad
  2. Optimizer
  3. AnyRef
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  1. by toINDArrayLayerOps
  2. by any2stringadd
  3. by StringFormat
  4. by Ensuring
  5. by ArrowAssoc
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  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    AnyRef → Any
  3. def +(other: String): String

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    Implicit information
    This member is added by an implicit conversion from Adagrad to any2stringadd[Adagrad] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd
  4. def ->[B](y: B): (Adagrad, B)

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    Implicit information
    This member is added by an implicit conversion from Adagrad to ArrowAssoc[Adagrad] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @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 Adagrad 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[Adagrad, 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
    AdagradOptimizer
  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 Adagrad 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[Adagrad, 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: (Adagrad) ⇒ Boolean, msg: ⇒ Any): Adagrad

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    Implicit information
    This member is added by an implicit conversion from Adagrad to Ensuring[Adagrad] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  12. def ensuring(cond: (Adagrad) ⇒ Boolean): Adagrad

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    Implicit information
    This member is added by an implicit conversion from Adagrad to Ensuring[Adagrad] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  13. def ensuring(cond: Boolean, msg: ⇒ Any): Adagrad

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    Implicit information
    This member is added by an implicit conversion from Adagrad to Ensuring[Adagrad] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  14. def ensuring(cond: Boolean): Adagrad

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    Implicit information
    This member is added by an implicit conversion from Adagrad to Ensuring[Adagrad] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  15. def eps(): Double

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    protected
  16. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  17. def equals(arg0: Any): Boolean

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  18. def finalize(): Unit

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    protected[java.lang]
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. def formatted(fmtstr: String): String

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    Implicit information
    This member is added by an implicit conversion from Adagrad to StringFormat[Adagrad] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  20. final def getClass(): Class[_]

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  21. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  22. 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 Adagrad 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[Adagrad, 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
  23. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  24. def maxPool(dimensions: Int*): Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from Adagrad 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[Adagrad, 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. 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 Adagrad 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[Adagrad, 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
  26. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  27. final def notify(): Unit

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    Definition Classes
    AnyRef
  28. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  29. 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 Adagrad 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[Adagrad, 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 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 Adagrad 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[Adagrad, 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]

  31. 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 Adagrad 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[Adagrad, 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 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 Adagrad 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[Adagrad, 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]

  33. 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 Adagrad 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[Adagrad, 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(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 Adagrad 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[Adagrad, 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. 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 Adagrad 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[Adagrad, 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
  36. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  37. 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 Adagrad 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[Adagrad, 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
  38. def toString(): String

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    Definition Classes
    AnyRef → Any
  39. def unary_-: Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from Adagrad 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[Adagrad, 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
  40. final def updateNDArray(oldValue: INDArray, delta: INDArray): INDArray

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    Definition Classes
    Optimizer
  41. final def wait(): Unit

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    @throws( ... )
  42. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  43. final def wait(arg0: Long): Unit

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    @throws( ... )
  44. def [B](y: B): (Adagrad, B)

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    Implicit information
    This member is added by an implicit conversion from Adagrad to ArrowAssoc[Adagrad] 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 Adagrad to INDArrayLayerOps[Input]

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

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

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

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

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