Linear

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

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

   Definition Classes

   Function1

   Annotations

   @unspecialized()

7. 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

   Linear → Activation → Function1

8. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

9. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

    Definition Classes

    Function1

    Annotations

    @unspecialized()

11. 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

    Linear → Activation

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

    Definition Classes

    AnyRef

13. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

14. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

16. def hashCode(): Int

    Definition Classes

    AnyRef → Any

17. 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

18. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

20. final def notify(): Unit

    Definition Classes

    AnyRef

21. final def notifyAll(): Unit

    Definition Classes

    AnyRef

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

    Definition Classes

    AnyRef

23. def toString(): String

    Definition Classes

    Function1 → AnyRef → Any

24. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )