Class

com.intel.analytics.bigdl.nn

BatchNormParams

Related Doc: package nn

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case class BatchNormParams[T](eps: Double = 1e-5, momentum: Double = 0.1, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null, affine: Boolean = true)(implicit evidence$8: ClassTag[T], ev: TensorNumeric[T]) extends Product with Serializable

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  1. BatchNormParams
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Instance Constructors

  1. new BatchNormParams(eps: Double = 1e-5, momentum: Double = 0.1, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null, affine: Boolean = true)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

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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. var affine: Boolean

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

  7. var eps: Double

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

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  9. def finalize(): Unit

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

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

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  11. var initBias: Tensor[T]

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  12. var initGradBias: Tensor[T]

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  13. var initGradWeight: Tensor[T]

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  14. var initWeight: Tensor[T]

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  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  16. var momentum: Double

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Product

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