Rectifier

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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

   

   Definition Classes

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4. def andThen[A](g: (ScalarMatrix) ⇒ A): (ScalarMatrix) ⇒ A

   

   Definition Classes

   Function1

   Annotations

   @unspecialized()

5. def apply(x: ScalarMatrix): ScalarMatrix

   

   Compute mapping for x

   Compute mapping for x

   x

   the input matrix. Before application, input should be summed already.

   returns

   value of f(x)

   Definition Classes

   Rectifier → Activation → Function1

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. def compose[A](g: (A) ⇒ ScalarMatrix): (A) ⇒ ScalarMatrix

   

   Definition Classes

   Function1

   Annotations

   @unspecialized()

9. def derivative(fx: ScalarMatrix): ScalarMatrix

   

   Compute differentiation value of this function at f(x) = fx

   Compute differentiation value of this function at f(x) = fx

   fx

   the output of this function

   returns

   differentiation value at f(x) = fx, which should be an square, diagonal matrix

   Definition Classes

   Rectifier → Activation

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

    

    Definition Classes

    AnyRef

11. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

12. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

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14. def hashCode(): Int

    

    Definition Classes

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15. def initialize(fanIn: Int, fanOut: Int, rows: Int = 0, cols: Int = 0): ScalarMatrix

    

    Initialize the weight matrix

    Initialize the weight matrix

    fanIn

    the number of fan-in i.e. the number of neurons in previous layer

    fanOut

    the number of fan-out i.e. the number of neurons in next layer

    rows

    the number of rows of resulting matrix (Default 0)

    cols

    the number of cols of resulting matrix (Default 0)

    returns

    the initialized weight matrix

    Definition Classes

    Activation

16. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    AnyRef

18. final def notify(): Unit

    

    Definition Classes

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19. final def notifyAll(): Unit

    

    Definition Classes

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

    

    Definition Classes

    AnyRef

21. def toString(): String

    

    Definition Classes

    Function1 → AnyRef → Any

22. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )