Object/Class

ml.combust.mleap.core.ann

FeedForwardTopology

Related Docs: class FeedForwardTopology | package ann

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object FeedForwardTopology extends Serializable

Factory for some of the frequently-used topologies

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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. def apply(layers: Array[Layer]): FeedForwardTopology

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    Creates a feed forward topology from the array of layers

    Creates a feed forward topology from the array of layers

    layers

    array of layers

    returns

    feed forward topology

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def multiLayerPerceptron(layerSizes: Array[Int], softmaxOnTop: Boolean = true): FeedForwardTopology

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    Creates a multi-layer perceptron

    Creates a multi-layer perceptron

    layerSizes

    sizes of layers including input and output size

    softmaxOnTop

    whether to use SoftMax or Sigmoid function for an output layer. Softmax is default

    returns

    multilayer perceptron topology

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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