com.thoughtworks.deeplearning.DifferentiableAny

Trainable

trait Trainable[-Data, +Delta] extends AnyRef

A type class that makes result of forward as input of backward. To train a layer, a implement of Trainable has parameterized with types of the layer's Input and Output is required.

See also

This type class is required by train.

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  1. Trainable
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  1. by toAnyLayerOps
  2. by any2stringadd
  3. by any2stringfmt
  4. by any2ArrowAssoc
  5. by any2Ensuring
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Abstract Value Members

  1. abstract def apply(data: Data): Delta

Concrete Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. def +(other: String): String

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to StringAdd performed by method any2stringadd in scala.Predef.
    Definition Classes
    StringAdd

  5. def ->[B](y: B): (Trainable[Data, Delta], B)

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to ArrowAssoc[Trainable[Data, Delta]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()

  6. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  9. def clone(): AnyRef

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

  10. def compose[NewInput <: Tape](g: Aux[NewInput, Input]): Aux[NewInput, Aux[OutputData, OutputDelta]]

    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Trainable[Data, Delta], Input, OutputData, OutputDelta] is in scope.
    Definition Classes
    AnyLayerOps
    Full Signature

    def compose[G, NewInput <: Tape, InputData, InputDelta](g: G)(implicit toLayer: Aux[G, NewInput, InputData, InputDelta], toInput: <:<[Aux[NewInput, Aux[InputData, InputDelta]], Aux[NewInput, Input]]): Aux[NewInput, Aux[OutputData, OutputDelta]]

    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableAny._
def composeNetwork(implicit thisLayer: INDArray @Symbolic)(anotherLayer: INDArray @Symbolic) = {
  thisLayer.compose(anotherLayer)

  11. def ensuring(cond: (Trainable[Data, Delta]) ⇒ Boolean, msg: ⇒ Any): Trainable[Data, Delta]

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to Ensuring[Trainable[Data, Delta]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  12. def ensuring(cond: (Trainable[Data, Delta]) ⇒ Boolean): Trainable[Data, Delta]

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to Ensuring[Trainable[Data, Delta]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  13. def ensuring(cond: Boolean, msg: ⇒ Any): Trainable[Data, Delta]

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to Ensuring[Trainable[Data, Delta]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  14. def ensuring(cond: Boolean): Trainable[Data, Delta]

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to Ensuring[Trainable[Data, Delta]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring

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

    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  17. def finalize(): Unit

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

  18. def formatted(fmtstr: String): String

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to StringFormat performed by method any2stringfmt in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()

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

    Definition Classes
    AnyRef → Any

  20. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  21. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  23. final def notify(): Unit

    Definition Classes
    AnyRef

  24. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  25. def predict[InputData, InputDelta](inputData: InputData)(implicit ev: <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Aux[InputData, InputDelta], Aux[OutputData, OutputDelta]]]): OutputData

    Returns the result of inputData's forward.

    Returns the result of inputData's forward.

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Trainable[Data, Delta], Input, OutputData, OutputDelta] is in scope.
    Definition Classes
    AnyLayerOps
    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableAny._
def composeNetwork(implicit inputData: INDArray @Symbolic) = ???
val predictor = composeNetwork
predictor.predict(testData)

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

    Definition Classes
    AnyRef

  27. def toString(): String

    Definition Classes
    AnyRef → Any

  28. def train[InputData, InputDelta](inputData: InputData)(implicit ev: <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Aux[InputData, InputDelta], Aux[OutputData, OutputDelta]]], outputDataIsOutputDelta: Trainable[OutputData, OutputDelta]): OutputData

    Updates those weights embedded in anyLayer according to the result of inputData's backward.

    Updates those weights embedded in anyLayer according to the result of inputData's backward.

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Trainable[Data, Delta], Input, OutputData, OutputDelta] is in scope.
    Definition Classes
    AnyLayerOps
    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableAny._
def composeNetwork(implicit input: INDArray @Symbolic) = ???
val yourNetwork=composeNetwork
yourNetwork.train(testData)

  29. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  32. def withOutputDataHook(hook: (OutputData) ⇒ Unit): Aux[Input, Aux[OutputData, OutputDelta]]

    Returns a new Layer which is a wrapper of result of anyLayer's forward and will invoke hook(anyLayer.forward(input).value).

    Returns a new Layer which is a wrapper of result of anyLayer's forward and will invoke hook(anyLayer.forward(input).value). In DeepLearning.Scala, operation is not immediately run, but first filled the network with placeholders, until the entire network is running, the real data will replace placeholders. So if you want to know some layers's intermediate state, you need to use withOutputDataHook.

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Trainable[Data, Delta], Input, OutputData, OutputDelta] is in scope.
    Definition Classes
    AnyLayerOps
    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableAny._
(var:INDArray @Symbolic).withOutputDataHook{ data => println(data) }

  33. def →[B](y: B): (Trainable[Data, Delta], B)

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to ArrowAssoc[Trainable[Data, Delta]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Shadowed Implicit Value Members

  1. val self: Any

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to StringAdd performed by method any2stringadd in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (trainable: StringAdd).self
    Definition Classes
    StringAdd

  2. val self: Any

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to StringFormat performed by method any2stringfmt in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (trainable: StringFormat).self
    Definition Classes
    StringFormat

Deprecated Value Members

  1. def x: Trainable[Data, Delta]

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to ArrowAssoc[Trainable[Data, Delta]] performed by method any2ArrowAssoc in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (trainable: ArrowAssoc[Trainable[Data, Delta]]).x
    Definition Classes
    ArrowAssoc
    Annotations
    @deprecated
    Deprecated

    (Since version 2.10.0) Use leftOfArrow instead

  2. def x: Trainable[Data, Delta]

    Implicit information
    This member is added by an implicit conversion from Trainable[Data, Delta] to Ensuring[Trainable[Data, Delta]] performed by method any2Ensuring in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (trainable: Ensuring[Trainable[Data, Delta]]).x
    Definition Classes
    Ensuring
    Annotations
    @deprecated
    Deprecated

    (Since version 2.10.0) Use resultOfEnsuring instead

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion toAnyLayerOps from Trainable[Data, Delta] to AnyLayerOps[Input, OutputData, OutputDelta]

Inherited by implicit conversion any2stringadd from Trainable[Data, Delta] to StringAdd

Inherited by implicit conversion any2stringfmt from Trainable[Data, Delta] to StringFormat

Inherited by implicit conversion any2ArrowAssoc from Trainable[Data, Delta] to ArrowAssoc[Trainable[Data, Delta]]

Inherited by implicit conversion any2Ensuring from Trainable[Data, Delta] to Ensuring[Trainable[Data, Delta]]

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