com.github.cloudml.zen.ml.neuralNetwork

NNUtil

Related Doc: package neuralNetwork

object NNUtil

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def crossEntropy(out: Matrix[Double], label: Matrix[Double]): Double

  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. def initGaussianDistWeight(weight: DenseMatrix[Double], scale: Double): DenseMatrix[Double]

  13. def initGaussianDistWeight(numIn: Int, numOut: Int, scale: Double): DenseMatrix[Double]

  14. def initGaussianDistWeight(numIn: Int, numOut: Int): DenseMatrix[Double]

  15. def initUniformDistWeight(w: DenseMatrix[Double], low: Double, high: Double): DenseMatrix[Double]

  16. def initUniformDistWeight(numIn: Int, numOut: Int, low: Double, high: Double): DenseMatrix[Double]

  17. def initUniformDistWeight(w: DenseMatrix[Double], scale: Double): DenseMatrix[Double]

  18. def initUniformDistWeight(numIn: Int, numOut: Int, scale: Double): DenseMatrix[Double]

  19. def initUniformDistWeight(numIn: Int, numOut: Int): DenseMatrix[Double]

  20. def initializeBias(numOut: Int): DenseVector[Double]

  21. def initializeWeight(w: DenseMatrix[Double], rand: () ⇒ Double): DenseMatrix[Double]

  22. def initializeWeight(numIn: Int, numOut: Int, rand: () ⇒ Double): DenseMatrix[Double]

  23. def initializeWeight(numIn: Int, numOut: Int): DenseMatrix[Double]

  24. final def isInstanceOf[T0]: Boolean

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  25. def meanSquaredError(out: Matrix[Double], label: Matrix[Double]): Double

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

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  27. final def notify(): Unit

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  28. final def notifyAll(): Unit

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  29. def scalarExp(x: Double, expThreshold: Double = 64D): Double

  30. def sigmoid(x: Double, expThreshold: Double): Double

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  31. def sigmoid(x: Double): Double

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  32. def sigmoidPrimitive(y: Double): Double

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  33. def softMaxPrimitive(y: Double): Double

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  34. def softplus(x: Double, expThreshold: Double = 64): Double

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  35. def softplusPrimitive(y: Double, expThreshold: Double = 64): Double

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

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  37. def tanh(x: Double): Double

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  38. def tanhPrimitive(y: Double): Double

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  39. def toString(): String

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  40. final def wait(): Unit

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

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

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