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 Symbolic extends LowPrioritySymbolic

    There are two ways to convert a value to Layer.

    There are two ways to convert a value to Layer.

    The first way is invoke toLayer, such as:

    def createMyNeuralNetwork(implicit input: Float @Symbolic): Float @Symbolic = {
  val floatLayer: Float @Symbolic = 1.0f.toLayer
  floatLayer
}

    The second way is autoToLayer, such as:

    def createMyNeuralNetwork(implicit input: Float @Symbolic): Float @Symbolic = {
  val floatLayer: Float @Symbolic = 1.0f
  floatLayer
}

    In order to compile the above code through, you will need:

    import com.thoughtworks.deeplearning.Symbolic._
import com.thoughtworks.deeplearning.Symbolic
import com.thoughtworks.deeplearning.DifferentiableFloat._
    Definition Classes
    deeplearning
  • Layers
  • ToLayer
  • ToLayerOps
  • ToLiteral
  • ToTapeOps

implicit final class ToTapeOps[From, Data, Delta] extends AnyRef

Ordering
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  2. By Inheritance
Inherited
  1. ToTapeOps
  2. AnyRef
  3. Any
Implicitly
  1. by autoToLayer
  2. by ToLayerOps
  3. by any2stringadd
  4. by StringFormat
  5. by Ensuring
  6. by ArrowAssoc
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ToTapeOps(from: From)(implicit lift: Aux[From, Data, Delta])

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 ToTapeOps[From, Data, Delta] to any2stringadd[ToTapeOps[From, Data, Delta]] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd
  4. def ->[B](y: B): (ToTapeOps[From, Data, Delta], B)
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to ArrowAssoc[ToTapeOps[From, Data, Delta]] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  5. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def ensuring(cond: (ToTapeOps[From, Data, Delta]) ⇒ Boolean, msg: ⇒ Any): ToTapeOps[From, Data, Delta]
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to Ensuring[ToTapeOps[From, Data, Delta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  9. def ensuring(cond: (ToTapeOps[From, Data, Delta]) ⇒ Boolean): ToTapeOps[From, Data, Delta]
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to Ensuring[ToTapeOps[From, Data, Delta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  10. def ensuring(cond: Boolean, msg: ⇒ Any): ToTapeOps[From, Data, Delta]
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to Ensuring[ToTapeOps[From, Data, Delta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  11. def ensuring(cond: Boolean): ToTapeOps[From, Data, Delta]
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to Ensuring[ToTapeOps[From, Data, Delta]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  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 ToTapeOps[From, Data, Delta] to StringFormat[ToTapeOps[From, Data, Delta]] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  16. def forward: ((input: _1.Input)_1.Output) forSome {val _1: Layer { ... /* 2 definitions in type refinement */ }}
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to Aux[Input, Aux[OutputData, OutputDelta]] performed by method autoToLayer in com.thoughtworks.deeplearning.Symbolic. This conversion will take place only if an implicit value of type Aux[ToTapeOps[From, Data, Delta], Input, OutputData, OutputDelta] is in scope.
    Definition Classes
    Layer
  17. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  18. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toLayer: Aux[Input, Aux[OutputData, OutputDelta]]
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to ToLayerOps[ToTapeOps[From, Data, Delta], Input, OutputData, OutputDelta] performed by method ToLayerOps in com.thoughtworks.deeplearning.Symbolic. This conversion will take place only if an implicit value of type Aux[ToTapeOps[From, Data, Delta], Input, OutputData, OutputDelta] is in scope.
    Definition Classes
    ToLayerOps
  25. def toString(): String
    Definition Classes
    AnyRef → Any
  26. def toTape: Aux[Data, Delta]
    Annotations
    @inline()
  27. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. def →[B](y: B): (ToTapeOps[From, Data, Delta], B)
    Implicit
    This member is added by an implicit conversion from ToTapeOps[From, Data, Delta] to ArrowAssoc[ToTapeOps[From, Data, Delta]] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion autoToLayer from ToTapeOps[From, Data, Delta] to Aux[Input, Aux[OutputData, OutputDelta]]

Inherited by implicit conversion ToLayerOps from ToTapeOps[From, Data, Delta] to ToLayerOps[ToTapeOps[From, Data, Delta], Input, OutputData, OutputDelta]

Inherited by implicit conversion any2stringadd from ToTapeOps[From, Data, Delta] to any2stringadd[ToTapeOps[From, Data, Delta]]

Inherited by implicit conversion StringFormat from ToTapeOps[From, Data, Delta] to StringFormat[ToTapeOps[From, Data, Delta]]

Inherited by implicit conversion Ensuring from ToTapeOps[From, Data, Delta] to Ensuring[ToTapeOps[From, Data, Delta]]

Inherited by implicit conversion ArrowAssoc from ToTapeOps[From, Data, Delta] to ArrowAssoc[ToTapeOps[From, Data, Delta]]

Ungrouped