org.deeplearning4j.scalnet.layers.convolutional

Convolution

abstract class Convolution extends Node

Base class for convolutional layers.

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Instance Constructors

  1. new Convolution(kernelSize: List[Int], stride: List[Int], padding: List[Int], nChannels: Int = 0, nFilter: Int = 0)

Value Members

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

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

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  3. final def ##(): Int

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

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

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  6. var _outputShape: List[Int]

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  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. var inputShape: List[Int]

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  15. final def isInstanceOf[T0]: Boolean

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  16. val kernelSize: List[Int]

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    protected
  17. val nFilter: Int

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  18. val name: String

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. def outputShape: List[Int]

    Definition Classes
    ConvolutionNode
  23. val padding: List[Int]

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    protected
  24. val stride: List[Int]

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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