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implicit class NNOps[T] extends AnyRef

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Instance Constructors

  1. new NNOps(output: ops.Output[T])

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 addBias(bias: ops.Output[T], cNNDataFormat: CNNDataFormat = CNNDataFormat.default)(implicit ev: core.types.IsNumeric[T]): ops.Output[T]
  5. final def asInstanceOf[T0]: T0
    Definition Classes
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  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  7. def conv2D(filter: ops.Output[T], stride1: Long, stride2: Long, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, dilations: (Int, Int, Int, Int) = (1, 1, 1, 1), useCuDNNOnGPU: Boolean = true, name: String = "Conv2D")(implicit ev: core.types.IsDecimal[T]): ops.Output[T]
  8. def crelu(implicit ev: core.types.IsReal[T]): ops.Output[T]
  9. def dropout[I](keepProbability: Float, scaleOutput: Boolean = true, noiseShape: ops.Output[I] = null, seed: Option[Int] = None)(implicit arg0: IntDefault[I], arg1: core.types.IsIntOrLong[I], arg2: core.types.TF[I], ev: core.types.IsHalfOrFloatOrDouble[T]): ops.Output[T]
  10. def dynamicDropout[I](keepProbability: ops.Output[T], scaleOutput: Boolean = true, noiseShape: ops.Output[I] = null, seed: Option[Int] = None)(implicit arg0: IntDefault[I], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I], ev: core.types.IsHalfOrFloatOrDouble[T]): ops.Output[T]
  11. def elu(implicit ev: core.types.IsReal[T]): ops.Output[T]
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  14. implicit val evTTF: core.types.TF[T]
    Attributes
    protected
  15. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
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    Annotations
    @native() @HotSpotIntrinsicCandidate()
  16. def hashCode(): Int
    Definition Classes
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    Annotations
    @native() @HotSpotIntrinsicCandidate()
  17. def inTopK[I](targets: ops.Output[I], k: ops.Output[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I], ev: =:=[T, Float]): ops.Output[Boolean]
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. def l2Normalize[I](axes: ops.Output[I], epsilon: Float = 1e-12f)(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I], ev: core.types.IsNotQuantized[T]): ops.Output[T]
  20. def linear(weights: ops.Output[T], bias: ops.Output[T])(implicit ev: core.types.IsNotQuantized[T]): ops.Output[T]
  21. def localResponseNormalization(depthRadius: Int = 5, bias: Float = 1.0f, alpha: Float = 1.0f, beta: Float = 0.5f, name: String = "LocalResponseNormalization")(implicit ev: core.types.IsTruncatedHalfOrHalfOrFloat[T]): ops.Output[T]
  22. def logSoftmax(axis: Int = -1)(implicit ev: core.types.IsDecimal[T]): ops.Output[T]
  23. def lrn(depthRadius: Int = 5, bias: Float = 1.0f, alpha: Float = 1.0f, beta: Float = 0.5f, name: String = "LRN")(implicit ev: core.types.IsTruncatedHalfOrHalfOrFloat[T]): ops.Output[T]
  24. def maxPool(windowSize: ops.Output[Int], strides: ops.Output[Int], padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "MaxPool")(implicit ev: core.types.IsNumeric[T]): ops.Output[T]
  25. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  26. final def notify(): Unit
    Definition Classes
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    Annotations
    @native() @HotSpotIntrinsicCandidate()
  27. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  28. val output: ops.Output[T]
  29. def relu(alpha: Float = 0.0f)(implicit ev: core.types.IsReal[T]): ops.Output[T]
  30. def relu6(implicit ev: core.types.IsReal[T]): ops.Output[T]
  31. def selu(implicit ev: core.types.IsReal[T]): ops.Output[T]
  32. def softmax(axis: Int = -1)(implicit ev: core.types.IsDecimal[T]): ops.Output[T]
  33. def softplus(implicit ev: core.types.IsDecimal[T]): ops.Output[T]
  34. def softsign(implicit ev: core.types.IsDecimal[T]): ops.Output[T]
  35. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  36. def toString(): String
    Definition Classes
    AnyRef → Any
  37. def topK(k: ops.Output[Int], sorted: Boolean = true)(implicit ev: core.types.IsReal[T]): (ops.Output[T], ops.Output[Int])
  38. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.InterruptedException])
  39. final def wait(arg0: Long): Unit
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  40. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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