Object

toolkit.neuralnetwork.policy

Best

Related Doc: package policy

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object Best extends ConvolutionalLayerPolicy with Product with Serializable

Let the platform choose the implementation, guided by such parameters as border policy and downsampling use.

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Serializable, Serializable, Product, Equals, ConvolutionalLayerPolicy, AnyRef, Any
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  1. Best
  2. Serializable
  3. Serializable
  4. Product
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  6. ConvolutionalLayerPolicy
  7. AnyRef
  8. Any
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  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. final def asInstanceOf[T0]: T0

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    Any

  5. def clone(): AnyRef

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

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

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    AnyRef

  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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  10. final def isInstanceOf[T0]: Boolean

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    Any

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

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    AnyRef

  12. final def notify(): Unit

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    AnyRef

  13. final def notifyAll(): Unit

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    AnyRef

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

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  15. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from ConvolutionalLayerPolicy

Inherited from AnyRef

Inherited from Any

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