Class/Object

ml.combust.mleap.core.ann

FeedForwardModel

Related Docs: object FeedForwardModel | package ann

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class FeedForwardModel extends TopologyModel

Model of Feed Forward Neural Network. Implements forward, gradient computation and can return weights in vector format.

Linear Supertypes
TopologyModel, Serializable, Serializable, AnyRef, Any
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  1. FeedForwardModel
  2. TopologyModel
  3. Serializable
  4. Serializable
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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )
  6. def computeGradient(data: DenseMatrix[Double], target: DenseMatrix[Double], cumGradient: Vector, realBatchSize: Int): Double

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    Computes gradient for the network

    Computes gradient for the network

    data

    input data

    target

    target output

    cumGradient

    cumulative gradient

    returns

    error

    Definition Classes
    FeedForwardModelTopologyModel
  7. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  10. def forward(data: DenseMatrix[Double]): Array[DenseMatrix[Double]]

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    Forward propagation

    Forward propagation

    data

    input data

    returns

    array of outputs for each of the layers

    Definition Classes
    FeedForwardModelTopologyModel
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. val layerModels: Array[LayerModel]

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    Array of layer models

    Array of layer models

    Definition Classes
    FeedForwardModelTopologyModel
  15. val layers: Array[Layer]

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    Array of layers

    Array of layers

    Definition Classes
    FeedForwardModelTopologyModel
  16. final def ne(arg0: AnyRef): Boolean

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    AnyRef
  17. final def notify(): Unit

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    AnyRef
  18. final def notifyAll(): Unit

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    AnyRef
  19. def predict(data: Vector): Vector

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    Prediction of the model

    Prediction of the model

    data

    input data

    returns

    prediction

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

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    Definition Classes
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  21. def toString(): String

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    Definition Classes
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  22. val topology: FeedForwardTopology

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    network topology

  23. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  25. final def wait(arg0: Long): Unit

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    @throws( ... )
  26. val weights: Vector

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    network weights

    network weights

    Definition Classes
    FeedForwardModelTopologyModel

Inherited from TopologyModel

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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