trait Trainable[-Data, +Delta] extends AnyRef
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- abstract def apply(data: Data): Delta
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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- def +(other: String): String
- def ->[B](y: B): (Trainable[Data, Delta], B)
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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def
compose[G, NewInput <: Batch, 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]]
- Implicit
- 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
- def ensuring(cond: (Trainable[Data, Delta]) ⇒ Boolean, msg: ⇒ Any): Trainable[Data, Delta]
- def ensuring(cond: (Trainable[Data, Delta]) ⇒ Boolean): Trainable[Data, Delta]
- def ensuring(cond: Boolean, msg: ⇒ Any): Trainable[Data, Delta]
- def ensuring(cond: Boolean): Trainable[Data, Delta]
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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def
finalize(): Unit
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- protected[java.lang]
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- @throws( classOf[java.lang.Throwable] )
- def formatted(fmtstr: String): String
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final
def
getClass(): Class[_]
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def
hashCode(): Int
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
- Definition Classes
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final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
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def
predict[InputData, InputDelta](inputData: InputData)(implicit ev: <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Aux[InputData, InputDelta], Aux[OutputData, OutputDelta]]]): OutputData
- Implicit
- 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
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
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def
toString(): String
- Definition Classes
- AnyRef → Any
-
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
- Implicit
- 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
-
final
def
wait(): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
- def →[B](y: B): (Trainable[Data, Delta], B)