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com.thoughtworks.deeplearning

DifferentiableFloat

Related Doc: package deeplearning

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object DifferentiableFloat

Author:

杨博 (Yang Bo) <[email protected]>

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Type Members

  1. final class FloatLayerOps[Input <: Batch] extends AnyRef

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  2. implicit final class NativeFloatOps extends AnyRef

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Value Members

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

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  2. final def ##(): Int

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

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  4. implicit def Float*Float[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  5. implicit def Float+Float[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  6. implicit def Float-Float[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  7. implicit def Float/Float[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  8. object Layers

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  9. object Optimizers

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  10. implicit def abs(Float)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch]]

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  11. final def asInstanceOf[T0]: T0

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  12. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

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

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  14. def equals(arg0: Any): Boolean

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  15. implicit def exp(Float)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch]]

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  16. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  17. implicit def floatTrainable: Trainable[Float, Float]

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

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  19. def hashCode(): Int

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  20. final def isInstanceOf[T0]: Boolean

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  21. implicit def liftFloat: Aux[Float, Float, Float]

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  22. implicit def log(Float)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch]]

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  23. implicit def max(Float,Float)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  24. implicit def min(Float,Float)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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

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  26. final def notify(): Unit

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  27. final def notifyAll(): Unit

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

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  29. implicit def toFloatLayerOps[From, Input <: Batch](from: From)(implicit toLayer: OfType[From, Input, FloatPlaceholder]): FloatLayerOps[Input]

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  30. def toString(): String

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  31. final def wait(): Unit

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

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

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