Class

org.nd4j.linalg.activations.impl

ActivationRATanh

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class ActivationRATanh extends BaseActivationFunction

RATanh Rational Approximation of Tanh: h(x) = 1.7159 * tanh(2x/3)

Note

remember to modify Activation.java

,

Compact Convolutional Neural Network Cascade for Face Detection

Linear Supertypes
BaseActivationFunction, IActivation, Serializable, AnyRef, Any
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Inherited
  1. ActivationRATanh
  2. BaseActivationFunction
  3. IActivation
  4. Serializable
  5. AnyRef
  6. Any
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Instance Constructors

  1. new ActivationRATanh()

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def assertShape(arg0: INDArray, arg1: INDArray): Unit

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    Attributes
    protected[org.nd4j.linalg.activations]
    Definition Classes
    BaseActivationFunction

  6. def backprop(in: INDArray, epsilon: INDArray): Pair[INDArray, INDArray]

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    backward pass to obtain gradients: in-place ops

    backward pass to obtain gradients: in-place ops

    in

    linear input to the activation node

    epsilon

    the gradient of the loss function with respect to the output, let the out be the output of the activation node such that h(in) = out, then d(Loss)/d(in) = d(Loss)/d(out) * d(out)/d(in) = epsilon * h'(in)

    Definition Classes
    ActivationRATanh → IActivation

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  11. def getActivation(in: INDArray, training: Boolean): INDArray

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    Definition Classes
    ActivationRATanh → IActivation

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

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    Definition Classes
    AnyRef → Any

  13. def getGradientViewArray(): INDArray

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    Definition Classes
    BaseActivationFunction → IActivation

  14. def getParametersViewArray(): INDArray

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    Definition Classes
    BaseActivationFunction → IActivation

  15. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Definition Classes
    AnyRef

  18. final def notify(): Unit

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    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  20. def numParams(arg0: Int): Int

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    Definition Classes
    BaseActivationFunction → IActivation

  21. def setGradientViewArray(arg0: INDArray): Unit

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    Definition Classes
    BaseActivationFunction → IActivation

  22. def setParametersViewArray(arg0: INDArray, arg1: Boolean): Unit

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    Definition Classes
    BaseActivationFunction → IActivation

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

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    Definition Classes
    AnyRef

  24. def toString(): String

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    Definition Classes
    ActivationRATanh → AnyRef → Any

  25. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BaseActivationFunction

Inherited from IActivation

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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