Packages

  • package root
    Definition Classes
    root
  • package com
    Definition Classes
    root
  • package thoughtworks
    Definition Classes
    com
  • package deeplearning

    This is the documentation for the DeepLearning.Scala

    This is the documentation for the DeepLearning.Scala

    Overview

    BufferedLayer, DifferentiableAny, DifferentiableNothing, Layer, Poly and Symbolic are base packages which contains necessary operations , all other packages dependent on those base packages.

    If you want to implement a layer, you need to know how to use base packages.

    Imports guidelines

    If you want use some operations of Type T, you should import:

    import com.thoughtworks.deeplearning.DifferentiableT._

    it means: If you want use some operations of INDArray, you should import:

    import com.thoughtworks.deeplearning.DifferentiableINDArray._

    If you write something like this:

    def softmax(implicit scores: INDArray @Symbolic): INDArray @Symbolic = {
  val expScores = exp(scores)
  expScores / expScores.sum(1)
}

    If compiler shows error :

    Could not infer implicit value for com.thoughtworks.deeplearning.Symbolic[org.nd4j.linalg.api.ndarray.INDArray]

    you need add import this time :

    import com.thoughtworks.deeplearning.DifferentiableINDArray._

    If you write something like this:

    def crossEntropyLossFunction(
  implicit pair: (INDArray :: INDArray :: HNil) @Symbolic)
: Double @Symbolic = {
 val score = pair.head
 val label = pair.tail.head
 -(label * log(score * 0.9 + 0.1) + (1.0 - label) * log(1.0 - score * 0.9)).mean
}

    If the compiler shows error:

    value * is not a member of com.thoughtworks.deeplearning.Layer.Aux[com.thoughtworks.deeplearning.Layer.Tape.Aux[org.nd4j.linalg.api.ndarray.INDArray,org.nd4j.linalg.api.ndarray.INDArray],com.thoughtworks.deeplearning.DifferentiableINDArray.INDArrayPlaceholder.Tape]val bias = Nd4j.ones(numberOfOutputKernels).toWeight * 0.1...

    you need add import :

    import com.thoughtworks.deeplearning.Poly.MathMethods.*
import com.thoughtworks.deeplearning.DifferentiableINDArray._

    If the compiler shows error:

    not found: value log -(label * log(score * 0.9 + 0.1) + (1.0 - label) * log(1.0 - score * 0.9)).mean...

    you need add import:

    import com.thoughtworks.deeplearning.Poly.MathFunctions.*
import com.thoughtworks.deeplearning.DifferentiableINDArray._

    Those + - * / and log exp abs max min are defined at MathMethods and MathFunctions，those method are been implemented at DifferentiableType，so you need to import the implicit of DifferentiableType.

    Composability

    Neural networks created by DeepLearning.scala are composable. You can create large networks by combining smaller networks. If two larger networks share some sub-networks, the weights in shared sub-networks trained with one network affect the other network.

    Definition Classes
    thoughtworks
    See also

    Compose

  • object DifferentiableSeq

    A namespace of common operators for Seq layers.

    A namespace of common operators for Seq layers.

    After importing DifferentiableSeq._, the following methods will be available on Seq layers.

    Author:

    杨博 (Yang Bo) <[email protected]>

    Definition Classes
    deeplearning
  • object Layers
    Definition Classes
    DifferentiableSeq
  • Get
  • ToSeq

final case class ToSeq[Input0 <: Tape, ElementData, ElementDelta](operands: Seq[Aux[Input0, Aux[ElementData, ElementDelta]]]) extends Layer with Product with Serializable

Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ToSeq
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Layer
  7. AnyRef
  8. Any
Implicitly
  1. by toSeqLayerOps
  2. by any2stringadd
  3. by StringFormat
  4. by Ensuring
  5. by ArrowAssoc
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new ToSeq(operands: Seq[Aux[Input0, Aux[ElementData, ElementDelta]]])

Type Members

  1. type Input = Input0
    Definition Classes
    ToSeq → Layer
  2. final class Output extends Tape with CloseableOnce

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def +(other: String): String
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to any2stringadd[ToSeq[Input0, ElementData, ElementDelta]] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd
  4. def ->[B](y: B): (ToSeq[Input0, ElementData, ElementDelta], B)
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to ArrowAssoc[ToSeq[Input0, ElementData, ElementDelta]] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  5. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  6. def apply(i: Int): Aux[Input, Aux[ElementData, ElementDelta]]
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to SeqLayerOps[Input, ElementData, ElementDelta] performed by method toSeqLayerOps in com.thoughtworks.deeplearning.DifferentiableSeq. This conversion will take place only if an implicit value of type Aux[ToSeq[Input0, ElementData, ElementDelta], Input, SeqData, SeqDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[SeqData, SeqDelta]], Aux[Input, Aux[Seq[ElementData], (Int, ElementDelta)]]] is in scope.
    Definition Classes
    SeqLayerOps
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def ensuring(cond: (ToSeq[Input0, ElementData, ElementDelta]) ⇒ Boolean, msg: ⇒ Any): ToSeq[Input0, ElementData, ElementDelta]
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to Ensuring[ToSeq[Input0, ElementData, ElementDelta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  10. def ensuring(cond: (ToSeq[Input0, ElementData, ElementDelta]) ⇒ Boolean): ToSeq[Input0, ElementData, ElementDelta]
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to Ensuring[ToSeq[Input0, ElementData, ElementDelta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  11. def ensuring(cond: Boolean, msg: ⇒ Any): ToSeq[Input0, ElementData, ElementDelta]
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to Ensuring[ToSeq[Input0, ElementData, ElementDelta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  12. def ensuring(cond: Boolean): ToSeq[Input0, ElementData, ElementDelta]
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to Ensuring[ToSeq[Input0, ElementData, ElementDelta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  13. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. def formatted(fmtstr: String): String
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to StringFormat[ToSeq[Input0, ElementData, ElementDelta]] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  16. def forward(input: Input): Output
    Definition Classes
    ToSeq → Layer
  17. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  22. val operands: Seq[Aux[Input0, Aux[ElementData, ElementDelta]]]
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. def →[B](y: B): (ToSeq[Input0, ElementData, ElementDelta], B)
    Implicit
    This member is added by an implicit conversion from ToSeq[Input0, ElementData, ElementDelta] to ArrowAssoc[ToSeq[Input0, ElementData, ElementDelta]] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Layer

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion toSeqLayerOps from ToSeq[Input0, ElementData, ElementDelta] to SeqLayerOps[Input, ElementData, ElementDelta]

Inherited by implicit conversion any2stringadd from ToSeq[Input0, ElementData, ElementDelta] to any2stringadd[ToSeq[Input0, ElementData, ElementDelta]]

Inherited by implicit conversion StringFormat from ToSeq[Input0, ElementData, ElementDelta] to StringFormat[ToSeq[Input0, ElementData, ElementDelta]]

Inherited by implicit conversion Ensuring from ToSeq[Input0, ElementData, ElementDelta] to Ensuring[ToSeq[Input0, ElementData, ElementDelta]]

Inherited by implicit conversion ArrowAssoc from ToSeq[Input0, ElementData, ElementDelta] to ArrowAssoc[ToSeq[Input0, ElementData, ElementDelta]]

Ungrouped