Class

org.platanios.tensorflow.api.tensors.ops.NN

NNOps

Related Doc: package NN

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case class NNOps(tensor: Tensor) extends Product with Serializable

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Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. NNOps
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Instance Constructors

  1. new NNOps(tensor: Tensor)

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Value Members

  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. def addBias(bias: Tensor, cNNDataFormat: CNNDataFormat = CNNDataFormat.default): Tensor

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. def conv2D(filter: Tensor, stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, useCuDNNOnGPU: Boolean = true): Tensor

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  8. def crelu: Tensor

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  9. def dropout(keepProbability: Float, noiseShape: Tensor = null, seed: Option[Int] = None): Tensor

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  10. def elu: Tensor

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

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  12. def finalize(): Unit

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

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  14. def inTopK(targets: Tensor, k: Tensor): Tensor

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  15. final def isInstanceOf[T0]: Boolean

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  16. def l2Normalize(axes: Tensor, epsilon: Float = 1e-12f): Tensor

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  17. def linear(weights: Tensor, bias: Tensor = null): Tensor

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  18. def logSoftmax(axis: Int = 1): Tensor

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  19. def maxPool(windowSize: Seq[Long], stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default): Tensor

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. def relu(alpha: Float = 0.0f): Tensor

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  24. def relu6: Tensor

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  25. def selu: Tensor

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  26. def softmax(axis: Int = 1): Tensor

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  27. def softplus: Tensor

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  28. def softsign: Tensor

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

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  30. val tensor: Tensor

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  31. def topK(k: Tensor = 1, sorted: Boolean = true): (Tensor, Tensor)

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  32. final def wait(): Unit

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

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

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Inherited from Serializable

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Inherited from Product

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